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mkdocs.yml
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site_name: Tech Learning
theme:
name: material
# Default values, taken from mkdocs_theme.yml
language: en
features:
- content.code.annotate
# - content.tabs.link
- content.tooltips
# - header.autohide
# - navigation.expand
- navigation.indexes
# - navigation.instant
# - navigation.prune
- navigation.sections
- navigation.tabs
# - navigation.tabs.sticky
- navigation.top
- navigation.tracking
- search.highlight
- search.share
- search.suggest
- toc.follow
# - toc.integrate
palette:
- scheme: default
primary: blue
accent: blue
toggle:
icon: material/toggle-switch
name: Switch to dark mode
- scheme: slate
primary: black
accent: indigo
toggle:
icon: material/toggle-switch-off-outline
name: Switch to light mode
font:
text: Roboto
code: Roboto Mono
favicon: assets/favicon.png
icon:
logo: logo
extra_javascript:
- javascripts/katex.js
- https://cdnjs.cloudflare.com/ajax/libs/KaTeX/0.16.7/katex.min.js
- https://cdnjs.cloudflare.com/ajax/libs/KaTeX/0.16.7/contrib/auto-render.min.js
extra_css:
- https://cdnjs.cloudflare.com/ajax/libs/KaTeX/0.16.7/katex.min.css
- stylesheets/extra.css
# Plugins
plugins:
- blog
- glightbox:
touchNavigation: true
loop: false
effect: zoom
width: 100%
height: auto
zoomable: true
draggable: true
- search
- minify:
minify_html: true
- mkdocs-video:
video_controls: True
# Extensions
markdown_extensions:
- abbr
- admonition
- attr_list
- def_list
- footnotes
- meta
- md_in_html
- toc:
permalink: true
- pymdownx.arithmatex:
generic: true
- pymdownx.betterem:
smart_enable: all
- pymdownx.critic
- pymdownx.caret
- pymdownx.details
- pymdownx.emoji:
emoji_generator: !!python/name:materialx.emoji.to_svg
emoji_index: !!python/name:materialx.emoji.twemoji
- pymdownx.highlight:
anchor_linenums: true
- pymdownx.inlinehilite
- pymdownx.keys
- pymdownx.magiclink:
repo_url_shorthand: true
user: squidfunk
repo: mkdocs-material
- pymdownx.mark
- pymdownx.smartsymbols
- pymdownx.superfences:
custom_fences:
- name: mermaid
class: mermaid
format: !!python/name:pymdownx.superfences.fence_code_format
- pymdownx.tabbed:
alternate_style: true
- pymdownx.tasklist:
custom_checkbox: true
- pymdownx.tilde
- pymdownx.keys
# Page tree
nav:
- Home:
- CICD 路線圖: index.md
- Networking Basics:
- 無類別區隔路由 CIDR: networking/cidr/cidr-intro.md
- Dnsmasq 本地 DNS 解析器: networking/dns/dnsmasq/setup-dnsmasq-resolve-dns.md
- SSL 憑證:
- 在憑證信任庫中安裝根CA證書: networking/ssl/security-trust-store.md
- Openssl 證書生成命令大全: kubernetes/03-tasks/tls/reference/openssl-certificate.md
- 帶 IP 地址的自簽 SSL/TLS: kubernetes/03-tasks/tls/reference/self-signed-cert.md
- 使用 mkcert 製作本機憑證: kubernetes/03-tasks/tls/reference/mkcert-quickstart.md
- Identity:
- Dex:
- 簡介: identity/dex/index.md
- YAML:
- YAML 入門教程: yaml/yaml-intro.md
- Learn YAML: yaml/yaml-tutorial.md
- CI/CD:
- GitOps 的概念: cicd/gitops.md
- Kubernetes:
- Getting started:
- 學習環境:
- K3D:
- 使用 K3D 設置 Kubernetes 集群: kubernetes/01-getting-started/learning-env/k3d/k3s-kubernetes-cluster-setup-with-k3d.md
- K3D + Nginx Ingress 控制器: kubernetes/01-getting-started/learning-env/k3d/k3d-with-nginx-ingresscontroller.md
- Minikube:
- 如何在 Ubuntu 20.04 上安裝 Minikube: kubernetes/01-getting-started/learning-env/minikube/how-to-install-minikube-on-ubuntu.md
- Nvidia:
- Kubernetes 與 GPUs: kubernetes/01-getting-started/learning-env/nvidia/kubernetes/index.md
- Nvidia Container Toolkit:
- 簡介: kubernetes/01-getting-started/learning-env/nvidia/nvidia-container-toolkit/index.md
- 最佳實踐:
- PKI 證書和要求: kubernetes/01-getting-started/best-practices/certificates.md
- Concepts:
- 概述:
- K8S 介詔: kubernetes/02-concepts/01-overview/k8s-intro.md
- Kubernetes 架構:
- K8S 架構解析: kubernetes/02-concepts/02-cluster-architecture/k8s-architecture.md
- Container Runtime 接口(CRI):
- 簡介: kubernetes/02-concepts/02-cluster-architecture/cri/index.md
- Containerd:
- 如何在 Ubuntu 22.04 上安裝 Containerd: kubernetes/02-concepts/02-cluster-architecture/cri/containerd/containerd-install.md
- Serivce, 負載均衡與網路:
- K8S 網絡通信介紹: kubernetes/02-concepts/05-svc-lb-network/k8s-network-intro.md
- 應用程序向外部公開服務手法: kubernetes/02-concepts/05-svc-lb-network/app-service-type.md
- 在 K3D 設定 Metallb: kubernetes/02-concepts/05-svc-lb-network/k3d-metallb-starter-kit.md
- 存儲:
- 簡介: kubernetes/02-concepts/06-storage/index.md
- 在 Pod 和本機進行文件複製: kubernetes/02-concepts/06-storage/kubectl-cp-example.md
- 配置:
- 配置最佳實踐: kubernetes/02-concepts/07-configuration/overview.md
- ConfigMap: kubernetes/02-concepts/07-configuration/configmap.md
- Secret: kubernetes/02-concepts/07-configuration/secret.md
- 集群管理:
- 日誌架構: kubernetes/02-concepts/11-cluster-adm/logging.md
- 日誌完整指南: kubernetes/02-concepts/11-cluster-adm/kubernetes-logging.md
- 日誌記錄實用指南: kubernetes/02-concepts/11-cluster-adm/a-practical-guide-to-k8s-logging.md
- Tasks:
- 管理 Kubernetes 對象:
- 使用 Kustomize 對 Kubernetes 對象進行聲明式管理: kubernetes/03-tasks/manage-kubernetes-objects/kustomization.md
- 訪問集群中的應用程序:
- 部署和訪問 Kubernetes 儀表板: kubernetes/03-tasks/access-application-cluster/web-ui-dashboard.md
- 監控、日誌和除錯:
- 簡介: kubernetes/03-tasks/debug/index.md
- 應用程序故障排查:
- 簡介: kubernetes/03-tasks/debug/debug-application/index.md
- 集群故障排查:
- 簡介: kubernetes/03-tasks/debug/debug-cluster/index.md
- 簡介: kubernetes/03-tasks/debug/debug-cluster/resource-metrics-pipeline.md
- TLS:
- 手動生成證書: kubernetes/03-tasks/administer-cluster/certificates.md
- 管理集群中的 TLS 認證: kubernetes/03-tasks/tls/managing-tls-in-a-cluster.md
- 手動輪換 CA 證書: kubernetes/03-tasks/tls/certificate-rotation.md
- 其它參考:
- Openssl 證書生成命令大全: kubernetes/03-tasks/tls/reference/openssl-certificate.md
- 帶 IP 地址的自簽 SSL/TLS: kubernetes/03-tasks/tls/reference/self-signed-cert.md
- 使用 mkcert 製作本機憑證: kubernetes/03-tasks/tls/reference/mkcert-quickstart.md
- Autoscale:
- Kubernetes 自動縮放: kubernetes/autoscale/kubernetes-autoscaling.md
- Kubernetes 垂直自動縮放: kubernetes/autoscale/kubernetes-vpa.md
- Tutorials:
- 你好, K3D: kubernetes/04-tutorials/hello-k3d.md
- 學習 Kubernetes 基礎知識:
- 簡介: kubernetes/04-tutorials/kubernetes-basics/index.md
- 創建集群: kubernetes/04-tutorials/kubernetes-basics/create-cluster.md
- 部署應用: kubernetes/04-tutorials/kubernetes-basics/deploy-app.md
- 了解應用: kubernetes/04-tutorials/kubernetes-basics/explore.md
- 公開曝露應用: kubernetes/04-tutorials/kubernetes-basics/expose.md
- 縮放你的應用: kubernetes/04-tutorials/kubernetes-basics/scale.md
- 更新你的應用: kubernetes/04-tutorials/kubernetes-basics/update.md
- 配置:
- ConfigMap 與 Secret: kubernetes/04-tutorials/configuration/configmap-secrets.md
- 存儲:
- 存儲管理 volume、PV/PVC: kubernetes/04-tutorials/volume/volume-pv-pvc.md
- Reference:
- API 概述:
- 使用 K8S API: kubernetes/05-reference/using-api/working-with-k8s-api.md
- K8S API 基礎: kubernetes/05-reference/using-api/kubernetes-api-structure-and-terminology.md
- 用 HTTP 客戶端調用 K8S API: kubernetes/05-reference/using-api/kubernetes-api-call-simple-http-client.md
- API 存取權限控制:
- Kubernetes RBAC 介詔: kubernetes/05-reference/access-authn-authz/rbac-intro.md
- 使用 RBAC 設置服務帳戶權限: kubernetes/05-reference/access-authn-authz/k8s-authorization-of-sa-with-rbac.md
- ServiceAccounts、JWT-tokens、身份驗證和 RBAC 授權: kubernetes/05-reference/access-authn-authz/k8s-sa-jwt-rbac.md
- 在集群內部調用 Kubernetes API: kubernetes/05-reference/access-authn-authz/k82-api-call-inside-the-cluster.md
- Observability:
- Day2 運營:
- Day2 的定義: kubernetes/observability/day2-ops/day2-definition.md
- Day2 的挑戰: kubernetes/observability/day2-ops/day2-challenges.md
- Kubernetes Day2 運營: kubernetes/observability/day2-ops/k8s-day2-problem.md
- 概念:
- Kubernetes 可觀察性: kubernetes/observability/concept/fullstack-monitoring.md
- 監控 Kubernetes 的挑戰: kubernetes/observability/concept/kubernetes-observability-for-humans.md
- Observability 學習指南:
- Part 1. 學習指南說明: kubernetes/observability/concept/observability-prometheus-guide-part1.md
- Part 2. Prometheus, Alertmanager & Grafana 架構介詔: kubernetes/observability/concept/observability-prometheus-guide-part2.md
- Part 3. Prometheus & Alertmanager 基本概念: kubernetes/observability/concept/observability-prometheus-guide-part3.md
- Part 4. PromQL 介詔: kubernetes/observability/concept/observability-prometheus-guide-part4.md
- Part 5. Alerts 最佳實踐: kubernetes/observability/concept/observability-prometheus-guide-part5.md
- Part 6. Kubernetes 中安裝設定 Prometheus 指南: kubernetes/observability/concept/observability-prometheus-guide-part6.md
- 日誌 Logging:
- Loki:
- 使用 Loki 做為 Kubernetes 的日誌聚合亓件: kubernetes/observability/logging/loki/logging-with-loki-and-plg.md
- 使用 Logging Operator 將 Nginx 日誌存儲在 Grafana Loki: kubernetes/observability/logging/loki/loki-nginx.md
- Loki 查詢語言 LogQL: kubernetes/observability/logging/loki/loki-ql.md
- Logging Operator:
- Logging Operator 日誌管理方案: kubernetes/observability/logging/operator/logging-operator.md
- Logging Operator 的擴展: kubernetes/observability/logging/operator/logging-operator-extensions.md
- Rancher 2.6 全新 Logging 快速入門: kubernetes/observability/logging/operator/rancher-logging-quickstart-01.md
- Rancher 2.6 全新 Logging 快速入門(2): kubernetes/observability/logging/operator/rancher-logging-quickstart-02.md
- 指標 Metrics:
- Prometheus Operator:
- Prometheus-operator 介绍和配置解析: kubernetes/observability/metrics/kube-prometheus-stack/setup-prometheus-and-grafana-on-kubernetes.md
- 追踪 Traces:
- 開發語言:
- Java:
- SpringBoot: kubernetes/observability/tracing/java/spring-boot-opentelemetry.md
- Tools:
- 簡介: kubernetes/package/index.md
- Packaging 管理:
- Helm:
- Helm 入門教學: kubernetes/package/helm-intro.md
- K8S 應用部署之 Helm 初探: kubernetes/package/helm-app-deploy.md
- Config 管理:
- Kustomize:
- Kustomize 入門教學: kubernetes/package/helm-intro.md
- CloudNative:
- Coding:
- 12 Factors:
- 12 要素應用實戰: coding/12factors/architecture-12-factor-app.md
- Observability:
- 指標 Metrics:
- 可觀測性(metrics)實戰: coding/observability/metrics/metrics-app-integration.md
- 日誌 Logs:
- Structured Logging: coding/observability/logs/structured-logging.md
- 可觀測性(logging)實戰: coding/observability/logs/logging-app-integration.md
- C#:
- 後端 API:
- 使用 NET Core 創建 Web API: coding/dotnet/backend/base/web-api-base.md
- 儀器化 Net Core 應用程序: coding/dotnet/backend/metric/web-api-metric.md
- 結構化日誌 Net Core 應用程序: coding/dotnet/backend/logging/web-api-logging.md
- Java:
- 後端 API:
- 使用 Springboot 創建 Web API: coding/java/backend/base/web-api-base.md
- 儀器化 Springboot 應用程序: coding/java/backend/metric/web-api-metric.md
- 結構化日誌 Sprintboot 應用程序: coding/java/backend/logging/web-api-logging.md
- SRE:
- 概念:
- 基於 SLO 告警: sre/concepts/slo-alerts/slo-alert.md
- 工具:
- Sloth:
- 概念:
- Sloth 是什麼？: sre/tools/sloth/what-is-sloth.md
- 安裝:
- Helm 安裝與功能驗證: sre/tools/sloth/setup/helm-install.md
- Pyrra:
- 概念:
- Pyrra 是什麼？: sre/tools/pyrra/what-is-pyrra.md
- 安裝:
- Helm 安裝與功能驗證: sre/tools/pyrra/setup/helm-install.md
- SLO 範例:
- Prometheus: sre/tools/pyrra/setup/pyrra-prometheus-slo.md
- Prometheus:
- 基礎:
- Prometheus 簡介: prometheus/prometheus/overview.md
- Prometheus 安裝配置: prometheus/prometheus/install.md
- Node Exporter:
- Exporter 簡介: prometheus/node-exporter/overview.md
- 安裝配置: prometheus/node-exporter/install.md
- 常用監控指標: prometheus/node-exporter/metrics.md
- PromQL:
- 基礎:
- PromQL 簡介: prometheus/promql/intro.md
- 數據模型: prometheus/promql/data-model.md
- 指標類型: prometheus/promql/metric-type.md
- 演示服務: prometheus/promql/demo-service.md
- 查詢:
- 查詢基礎: prometheus/promql/theory.md
- 選擇時間序列: prometheus/promql/select-series.md
- 變化率: prometheus/promql/rates.md
- 聚合: prometheus/promql/aggregate.md
- 運算: prometheus/promql/operate.md
- 閾值: prometheus/promql/threshold.md
- 集合操作: prometheus/promql/set.md
- 排序: prometheus/promql/sort.md
- 直方圖: prometheus/promql/histograms.md
- 數據對比: prometheus/promql/compare.md
- 檢測: prometheus/promql/check.md
- 補充:
- Range query 的 step 參數說明: prometheus/promql/range-query-step.md
- 搞懂 Prometheus 的直方圖: prometheus/promql/metric-histogram.md
- 簡單理解 Summary 和 Histogram 指標: prometheus/promql/metric-histogram-summary.md
- Alertmanager:
- Alertmanager 安裝: prometheus/alertmanager/deploy.md
- 報警規則: prometheus/alertmanager/rules.md
- 報警接收器: prometheus/alertmanager/receiver.md
- 報警過濾: prometheus/alertmanager/filter.md
- 補充:
- Promtheus 到底啥時候報警?: prometheus/alertmanager/prometheus-alert-why.md
- Grafana:
- Grafana 簡介: prometheus/grafana/overview.md
- 視覺化面板:
- 面板介詔: prometheus/grafana/panel.md
- 圖形面板: prometheus/grafana/graph.md
- 圖形定制: prometheus/grafana/graph-custom.md
- 表格面板: prometheus/grafana/table.md
- 儀錶盤面板: prometheus/grafana/gauge.md
- 統計面板: prometheus/grafana/stat.md
- 文本面板: prometheus/grafana/text.md
- Prometheus Operator:
- Prometheus Operator 簡介: prometheus/operator/install.md
- 自定義監控報警: prometheus/operator/custom.md
- Dashboard 的 GitOps 方式: prometheus/operator/consistent-dashboard-gitops-way.md
- 使用 ConfigMap 管理 Grafana 儀表板: prometheus/operator/dashboard-using-configmap.md
- Operation Runbook:
- Operation Runbook 簡介: prometheus/runbook/operations-runbook.md
- PostgresExporter:
- 使用 Prometheus 監控 PostgreSQL: prometheus/postgres-exporter/postgres-exporter-integration.md
- OpenTelemetry:
- Instrumentation:
- 簡介: opentelemetry/instrumentation/index.md
- 分佈式追踪概念: opentelemetry/distributed-tracing.md
- Java:
- 簡介: opentelemetry/instrumentation/java/index.md
- Automatic:
- 簡介: opentelemetry/instrumentation/java/automatic/index.md
- Python:
- Tracing API: opentelemetry/instrumentation/python/tracing.md
- Collector:
- 簡介: opentelemetry/collector/index.md
- K8s Operator:
- 簡介: opentelemetry/k8s-operator/index.md
- 範例:
- 如何使用 OTEL agent 捕獲 Spring Boot 指標: opentelemetry/sample/java/springboot-otel-agent.md
- Grafana:
- Tempo:
- 示例:
- Hot ROD 應用: grafana/tempo/hotrod.md
- Tempo(v2):
- 示例:
- Hot ROD 應用: grafana/tempo/hotrod2.md
- ArgoCD:
- 概念:
- Argo CD 是什麼？: argocd/concepts/what-is-argocd.md
- 入門:
- Getting Started: argocd/setup/getting_started.md
- 手把手教程:
- ArgoCD 教程簡介: argocd/tutorial/index.md
- ArgoCD 安裝設定: argocd/tutorial/01-setup.md
- ArgoCD 入門: argocd/tutorial/02-getting_started.md
- Kustomize: argocd/tutorial/03-kustomize.md
- SyncWaves 與 Hooks: argocd/tutorial/04-syncwaves-hooks.md
- ApplicationSet 控制器: argocd/tutorial/argo-cd-applicationset-controller.md
- 維運:
- 指標 Metrics:
- 說明: argocd/operation-manual/metrics/index.md
- 可觀測性(metrics)實戰: argocd/operation-manual/metrics/metrics-argocd-integration.md
- ArgoCD 插件:
- 使用 Argo CD Vault 插件進行 Secret 管理: argocd/argocd-vault-plugin/secret-management-argocd-vault.md
- ApplicationSet Controller:
- 簡介: argocd/applicationset/intro.md
- 用例: argocd/applicationset/use-cases.md
- ApplicationSet 控制器與 Argo CD 整合: argocd/applicationset/argo-cd-integration.md
- Generator 生成器:
- 生成器簡介: argocd/applicationset/generators/index.md
- List Generator: argocd/applicationset/generators/generators-list.md
- Cluster Generator: argocd/applicationset/generators/generators-cluster.md
- Git Generator: argocd/applicationset/generators/generators-git.md
- 範本 fields: argocd/applicationset/template.md
- Istio:
- 概念:
- Istio 是什麼？: istio/concepts/what-is-istio.md
- 流量管理: istio/concepts/traffic-management.md
- 可觀測性: istio/concepts/observability.md
- 安全: istio/concepts/security.md
- 簡介: istio/index.md
- 安裝:
- 使用 Helm 安裝: istio/setup/install/helm/helm-install.md
- Istio+OTel+Tempo 大全配: istio/setup/install/helm/helm-install2.md
- Istio+OTel+Tempo 大全配 (RKE2): istio/setup/install/helm/rke2-istio.md
- Istio+OTel+Tempo 大全配 (CCoE): istio/setup/install/helm/rke2-istio2.md
- 更多指南:
- 安裝配置文件: istio/setup/additional-setup/config-profiles.md
- 示例:
- Bookinfo 應用: istio/examples/bookinfo.md
- 參考:
- 應用程序部署策略: istio/reference/deployment-strategies.md
- Istio Ingress 與 K8S Ingress: istio/reference/istio-ingress-vs-k8s-ingress.md
- Dex:
- 概述:
- 入門: dex/overview/getting-started.md
- ID 令牌: dex/overview/id-tokens.md
- 編寫使用 Dex 的應用程序: dex/overview/using-dex.md
- OpenID Connect 概述: dex/overview/openid-connect.md
- v2 中的新功能: dex/overview/v2.md
- Scopes,Claims與Client功能: dex/overview/custom-scopes-claims-clients.md
- 存儲選項: dex/overview/storage.md
- Connectors:
- 概述: dex/connectors/index.md
- OpenID Connect: dex/connectors/oidc.md
- OAuth 2.0: dex/connectors/oauth.md
- 範例:
- OpenID Connect: dex/connectors/tutorials/oidc.md
- Minio:
- Administration:
- Minio Console:
- 簡介: minio/administration/minio-console/index.md
- 安全和訪問: minio/administration/minio-console/security-and-access.md
- 身份和訪問管理:
- 訪問管理: minio/administration/identity-access-management/policy-based-access-control.md
- 教學範例:
- Minio 簡介: minio/tutorials/minio-intro.md
- Minio Bucket Policy 教程: minio/tutorials/minio-bucket-policy.md
- Minio policy 使用: minio/tutorials/minio-policy-usage.md
- Vault:
- Docs:
- Auth Methods:
- Overview: vault/docs/auth/overview.md
- Kubernetes: vault/docs/auth/kubernetes.md
- Username & Password: vault/docs/auth/userpass.md
- Platform:
- Kubernetes:
- Overview: vault/docs/platform/index.md
- Helm:
- Overview: vault/docs/platform/helm/index.md
- Tutorials:
- Kubernetes:
- 通過 Vault Agent 容器將 Secret 注入 Kubernetes Pod: vault/kubernetes/kubernetes-sidecar.md
- 通過容器存儲接口 (CSI) 掛載 Vault Secret: vault/kubernetes/kubernetes-secret-store-driver.md
- Vault Agent 與 Kubernetes: vault/kubernetes/agent-kubernetes.md
- Kubernetes 與外部 Vault 整合: vault/kubernetes/kubernetes-external-vault.md
- Ansible:
- 快速入門:
- Vagrant 快速入門: ansible/vagrant-intro.md
- Ansible 快速入門: ansible/ansible-intro.md
- Ansible 使用基於 SSH 密碼登入: ansible/use_sshpass_to_login_for_ansible.md
- Ansible 使用指南: ansible/ansible-cheatsheet.md
- Ansible Playbook 撰寫:
- 如何創建與運行: ansible/tutorial_playbook/creating-and-running-your-first-ansible-playbook.md
- 如何定義任務: ansible/tutorial_playbook/how-to-define-tasks-in-ansible-playbooks.md
- 如何使用變量: ansible/tutorial_playbook/how-to-use-variables-in-ansible-playbooks.md
- 如何訪問系統信息: ansible/tutorial_playbook/how-to-access-system-information-facts-in-ansible-playbooks.md
- 如何使用條件: ansible/tutorial_playbook/how-to-use-conditionals-in-ansible-playbooks.md
- 如何使用循環: ansible/tutorial_playbook/how-to-use-loops-in-ansible-playbooks.md
- 了解權限提升: ansible/tutorial_playbook/understanding-privilege-escalation-in-ansible-playbooks.md
- 如何安裝和管理系統包: ansible/tutorial_playbook/how-to-install-and-manage-system-packages-in-ansible-playbooks.md
- 如何創建和使用模板: ansible/tutorial_playbook/how-to-create-and-use-templates-in-ansible-playbooks.md
- 如何定義和使用處理程序: ansible/tutorial_playbook/how-to-define-and-use-handlers-in-ansible-playbooks.md
- 如何使用Nginx部署靜態HTML網站: ansible/tutorial_playbook/how-to-deploy-a-static-html-website-with-ansible-on-ubuntu-20-04-nginx.md
- Ansible AWX 教學:
- 如何在 Ubuntu 20.04 上安裝 Ansible AWX: ansible/tutorial_awx/how-to-install-ansible-awx.md
- Ansible AWX 基本使用和配置: ansible/tutorial_awx/ansible-awx-guide-basic-usage-and-configuration.md
- 教學:
- 如何在 Ubuntu 20.04 上安裝 Docker: ansible/tutorial/ubuntu-insall-docker.md
- 如何使用 Ansible 在 Ubuntu 20.04 上安裝和設置 Docker: ansible/tutorial/ansible-install-docker.md
- 如何在 Ubuntu 22.04 上安裝和配置 Ansible: ansible/tutorial/how-to-install-and-configure-ansible-on-ubuntu-22-04.md
- MLOps:
- Getting started:
- 學習環境:
- Kubeadm:
- 支援 Nvidia GPU: mlops/01-getting-started/learning-env/kubeadm/k8s-kubeadm-containerd-gpu.md
- Rancher RKE2/K3S:
- 支援 Nvidia GPU: mlops/01-getting-started/learning-env/rancher/k8s-rke2-containerd-gpu.md
- 分析 Nvidia GPU Operator: mlops/01-getting-started/learning-env/rancher/rke2-gpu-manual-install.md
- GPU 共享:
- Nvidia GPU 共享的機制: mlops/02-gpu-sharing/nvidia-gpu-sharing-concepts.md
- 提高 GPU 利用率:
- Time-slicing: mlops/02-gpu-sharing/improving-gpu-utilization-in-kubernetes.md
- MIG:
- MIG 概念: mlops/02-gpu-sharing/mig/mig_concept.md
- MIG 切割入門: mlops/02-gpu-sharing/mig/mig-setup.md
- Kubernetes 對 MIG 支持: mlops/02-gpu-sharing/mig/mig-k8s.md
- GPU 持久化模式: mlops/02-gpu-sharing/mig/mig-persistence-mode.md
- GPU 的 MIG-PARTED 工具: mlops/02-gpu-sharing/mig/mig-parted.md
- GPU Operator 與 MIG 配置: mlops/02-gpu-sharing/mig/gpu-operator-mig.md
- Kubeflow:
- 簡介:
- 概述: kubeflow/env/index.md
- 架構: kubeflow/env/architecture.md
- 安裝: kubeflow/env/kubeflow-install.md
- 視頻教學: kubeflow/env/kubeflow-youtube.md
- 組件:
- Central Dashboard:
- 簡介: kubeflow/components/central-dash/overview.md
- 自定義 menu 項: kubeflow/components/central-dash/customizing-menu.md
- Kubeflow Notebooks:
- 概述: kubeflow/components/notebooks/overview.md
- 快速入門: kubeflow/components/notebooks/quickstart-guide.md
- 容器鏡像: kubeflow/components/notebooks/container-images.md
- 範例:
- Tesorflow(Mnist): kubeflow/components/notebooks/examples/jupyter-tensorflow-examples.md
- 提交 Kubernetes 資源: kubeflow/components/notebooks/submit-kubernetes.md
- 除錯: kubeflow/components/notebooks/troubleshooting.md
- Kubeflow Pipelines:
- v1:
- 簡介: kubeflow/components/pipelines/v1/introduction.md
- 概述:
- Quickstart: kubeflow/components/pipelines/v1/overview/interfaces.md
- 管道 interface: kubeflow/components/pipelines/v1/overview/quickstart.md
- Multi-user 隔離: kubeflow/components/pipelines/v1/overview/multi-user.md
- Pipeline Root: kubeflow/components/pipelines/v1/overview/pipeline-root.md
- 概念:
- Pipeline: kubeflow/components/pipelines/v1/concepts/pipeline.md
- Component: kubeflow/components/pipelines/v1/concepts/component.md
- Graph: kubeflow/components/pipelines/v1/concepts/graph.md
- Experiment: kubeflow/components/pipelines/v1/concepts/experiment.md
- Run 與 Recurring Run: kubeflow/components/pipelines/v1/concepts/run.md
- Run Trigger: kubeflow/components/pipelines/v1/concepts/run-trigger.md
- Step: kubeflow/components/pipelines/v1/concepts/step.md
- Output Artifact: kubeflow/components/pipelines/v1/concepts/output-artifact.md
- ML Metadata: kubeflow/components/pipelines/v1/concepts/metadata.md
- 管道運行比對: kubeflow/components/pipelines/v1/sdk-v2/run-comparison.md
- 範例和教程:
- DSL-Control結構: kubeflow/components/pipelines/v1/tutorials/dsl-control-structures.md
- Pipelines 輕量級組件: kubeflow/components/pipelines/v1/tutorials/lightweight-components.md
- v2:
- 簡介: kubeflow/components/pipelines/v2/introduction.md
- Hello World 範例管道: kubeflow/components/pipelines/v2/hello-world.md
- 從 KFP SDK v1 遷移: kubeflow/components/pipelines/v2/migration.md
- 安裝:
- Quickstart: kubeflow/components/pipelines/v2/installation/quickstart.md
- 組件:
- 簡介: kubeflow/components/pipelines/v2/component/index.md
- 輕量級 Python 組件: kubeflow/components/pipelines/v2/component/lightweight-python-components.md
- 容器化 Python 組件: kubeflow/components/pipelines/v2/component/containerized-python-components.md
- 容器組件: kubeflow/components/pipelines/v2/component/container-components.md
- Importer 組件: kubeflow/components/pipelines/v2/component/importer-component.md
- 附加功能: kubeflow/components/pipelines/v2/component/additional-functionality.md
- 管道:
- Pipeline 基礎: kubeflow/components/pipelines/v2/pipelines/pipeline-basics.md
- 控制 Flow: kubeflow/components/pipelines/v2/pipelines/control-flow.md
- 資料型別:
- 簡介: kubeflow/components/pipelines/v2/data-types/index.md
- Parameters: kubeflow/components/pipelines/v2/data-types/parameters.md
- Artifacts: kubeflow/components/pipelines/v2/data-types/artifacts.md
- 補充:
- 機器學習的效能衡量指標: kubeflow/components/pipelines/v2/data-types/artifacts/ml_metrics_intro.md
- 編譯 Pipeline: kubeflow/components/pipelines/v2/compile-a-pipeline.md
- 載入與分享組件: kubeflow/components/pipelines/v2/load-and-share-components.md
- 運行管道: kubeflow/components/pipelines/v2/run-a-pipeline.md
- 管道運行比對: kubeflow/components/pipelines/v2/run-comparison.md
- 命令行界面: kubeflow/components/pipelines/v2/cli.md
- Katib:
- 簡介: kubeflow/components/katib/overview.md
- 開始使用 Katib: kubeflow/components/katib/hyperparameter.md
- 運行實驗: kubeflow/components/katib/experiment.md
- 回復實驗: kubeflow/components/katib/resume-experiment.md
- Trial Templates 概述: kubeflow/components/katib/trial-template.md
- 使用 Early Stopping: kubeflow/components/katib/early-stopping.md
- Katib Configuration 簡介: kubeflow/components/katib/katib-config.md
- Katib 組件的環境變量: kubeflow/components/katib/env-variables.md
- Multi-Tenancy:
- 多用戶隔離介詔: kubeflow/components/multi-tenancy/overview.md
- 多用戶隔離入門: kubeflow/components/multi-tenancy/getting-started.md
- Profile(CRD): kubeflow/components/multi-tenancy/profile-controller.md
- 身份驗證設計:
- AuthService (OIDC代理): kubeflow/components/multi-tenancy/authn/oidc-authservice.md
- AuthService 網頁模板: kubeflow/components/multi-tenancy/authn/templates.md
- 使用Istio+Dex進行身份驗證: kubeflow/components/multi-tenancy/authn/kubeflow-authentication-with-istio-dex.md
- 使用Keycloak進行身份驗證: kubeflow/components/multi-tenancy/authn/keycloak-kubeflow.md
- 外部整合插件:
- KServe:
- KServe 簡介: kubeflow/external-add-ons/kserve/kserve.md
- 快速入門:
- KServe 入門: kubeflow/external-add-ons/kserve/get_started/get_started.md
- InferenceService 初試: kubeflow/external-add-ons/kserve/get_started/first_isvc.md
- 啟用 Swagger UI: kubeflow/external-add-ons/kserve/get_started/swagger_ui.md
- Model UI: kubeflow/external-add-ons/kserve/webapp.md
- 用戶指南:
- 概念:
- Control Plane:
- 簡介: kubeflow/external-add-ons/kserve/user_guide/control_plane/control_plane.md
- Data Plane:
- 簡介: kubeflow/external-add-ons/kserve/user_guide/data_plane/data_plane.md
- Data Plane (V1): kubeflow/external-add-ons/kserve/user_guide/data_plane/v1_protocol.md
- Data Plane (V2): kubeflow/external-add-ons/kserve/user_guide/data_plane/v2_protocol.md
- 模型推論 Runtimes: kubeflow/external-add-ons/kserve/user_guide/data_plane/servingruntimes.md
- 單一模型推論 Runtime:
- 模型框架/格式:
- 模型推論 Runtime 簡介: kubeflow/external-add-ons/kserve/user_guide/serving_runtime/overview.md
- Tensorflow: kubeflow/external-add-ons/kserve/user_guide/serving_runtime/tensorflow.md
- PyTorch: kubeflow/external-add-ons/kserve/user_guide/serving_runtime/torchserve.md
- Scikit-learn: kubeflow/external-add-ons/kserve/user_guide/serving_runtime/sklearn.md
- Transformer:
- 撰寫客制 Transformer: kubeflow/external-add-ons/kserve/user_guide/transformer/torchserve_image_transformer.md
- 模型監測:
- 使用 Alibi 異常值/漂移檢測器: kubeflow/external-add-ons/kserve/user_guide/model_monitoring/alibi_detect.md
- Model 存儲:
- Azure: kubeflow/external-add-ons/kserve/user_guide/storage/azure.md
- S3: kubeflow/external-add-ons/kserve/user_guide/storage/s3.md
- Minio: kubeflow/external-add-ons/kserve/user_guide/storage/minio.md
- URI: kubeflow/external-add-ons/kserve/user_guide/storage/uri.md
- Feature Store:
- Feast 簡介: kubeflow/external-add-ons/feature-store/introduction.md
- 範例:
- Notebooks:
- 構建客制容器鏡像: kubeflow/tutorials/notebooks/build-own-notebook-server.md
- JupyterLab:
- Notebook 結合 Git/GitHub: kubeflow/tutorials/notebooks/jupyterlab/git-ext/use-git-with-jupyter-nb.md
- JupyterLab Git 擴展 HowTo: kubeflow/tutorials/notebooks/jupyterlab/git-ext/how-to-jupyterlab-git.md
- JupyterLab Git 擴展 HowTo-2: kubeflow/tutorials/notebooks/jupyterlab/git-ext/jupyterlab-git-extension.md
- MLOps:
- 使用 Kubeflow 識別數字圖像: kubeflow/tutorials/mlops/recognize-digits.md
- Pipeline:
- 使用 Kubeflow 構建機器學習管道: kubeflow/tutorials/pipelines/building-machine-learning-pipelines.md
- 如何從頭開始構建第一個管道: kubeflow/tutorials/pipelines/build-kubeflow-pipeline-from-scratch.md
- Seldon:
- 簡介: seldon/index.md
- 概念:
- Seldon 核心組件概述: seldon/concepts/overview.md
- 範例:
- 學習環境: seldon/env/jupyter-hub.md
- 快速入門指南: seldon/examples/quickstart.md
- Kserve:
- User Guide:
- 概念:
- 控制平面:
- Model Serving控制平面: kserve/modelserving/control_plane/control_plane.md
- 模型ServingRuntime:
- XGBoost: kserve/modelserving/serving_runtime/lightgbm.md
- LightGBM: kserve/modelserving/serving_runtime/lightgbm.md
- MLflow:
- Model Evaluation:
- Index: mlflow/model-evaluation/index.md
- TraditionalML:
- Index: mlflow/traditional-ml/index.md
- 教程和指南:
- 構建客制 Python Function 模型:
- Index: mlflow/traditional-ml/creating-custom-pyfunc/index.md
- Models, Flavors, and PyFuncs: mlflow/traditional-ml/creating-custom-pyfunc/part1-named-flavors.md
- Understanding PyFunc: mlflow/traditional-ml/creating-custom-pyfunc/part2-pyfunc-components.md
- 範例:
- 建立自訂模型 "Add N": mlflow/traditional-ml/creating-custom-pyfunc/add-n.md
- 利薩茹 Lissajous 曲線自訂模型: mlflow/traditional-ml/creating-custom-pyfunc/basic-pyfunc.md
- 自訂模型的 predict 方法: mlflow/traditional-ml/creating-custom-pyfunc/override-predict.md
- Deployment:
- Index: mlflow/deployment/index.md
- 佈署標的:
- 本地推論服務部署: mlflow/deployment/how-it-works/deploy-model-locally.md
- 在K8S部署推論服務:
- Index: mlflow/deployment/how-it-works/deploy-model-to-kubernetes/index.md
- Tutorial: mlflow/deployment/how-it-works/deploy-model-to-kubernetes/tutorial.md
- MLflow Tracking:
- Index: mlflow/tracking/index.md
- 快速入門: mlflow/tracking/quickstart.md
- 概念: mlflow/tracking/concepts.md
- 設定 MLflow Tracking 環境:
- 元件: mlflow/tracking/tracking-server.md
- 使用本地資料庫追蹤實驗: mlflow/tracking/local-database.md
- 進行遠端實驗追蹤: mlflow/tracking/remote-server.md
- System Metrics:
- Index: mlflow/system-metrics/index.md
- MLflow Models:
- Index: mlflow/models/index.md
- 模型存儲格式: mlflow/models/storage-format.md
- 管理模型中的相依性: mlflow/models/dependencies.md
- 模型簽章與輸入範例: mlflow/models/signatures.md
- 模型 API: mlflow/models/model-api.md
- 內建模型 Flavors:
- Python Function: mlflow/models/model_flavors/python-function-python-function.md
- Keras(keras): mlflow/models/model_flavors/keras-keras.md
- PyTorch(pytorch): mlflow/models/model_flavors/pytorch-pytorch.md
- Scikit-learn(sklearn): mlflow/models/model_flavors/scikit-learn-sklearn.md
- TensorFlow(tensorflow): mlflow/models/model_flavors/tensorflow-tensorflow.md
- XGBoost(xgboost): mlflow/models/model_flavors/xgboost-xgboost.md
- LightGBM(lightgbm): mlflow/models/model_flavors/lightgbm-lightgbm.md
- MLflow Model Registry:
- 概念: mlflow/model-registry/concepts.md
- 模型註冊 Workflow: mlflow/model-registry/model-registry-workflows.md
- MLflow Authentication:
- Index: mlflow/auth/index.md
- LLMs:
- Serving:
- Ollama:
- 簡介: ollama/introduction.md
- 導入客制模型: ollama/import.md
- FAQ: ollama/faq.md
- 環境變數: ollama/env_variables.md
- OpenLLM:
- 簡介: llm/serving/openllm/introduction.md
- 基本使用: llm/serving/openllm/get_started.md
- 模型支持: llm/serving/openllm/models_supported.md
- 語嵌入: llm/serving/openllm/embedding.md
- 整合 LangChain: llm/serving/openllm/langchain.md
- TextGen:
- 簡介: llm/serving/text-generation-webui/introduction.md
- 基本使用: llm/serving/text-generation-webui/get_started.md
- 擴展插件: llm/serving/text-generation-webui/extensions.md
- Chat 人物設定: llm/serving/text-generation-webui/chat-mode.md
- 降低 GPU 顯存需求: llm/serving/text-generation-webui/low-vram-guide.md
- GTPQ 量化模型: llm/serving/text-generation-webui/gptq-models-4-bit-mode.md
- 啟用 ExLlama: llm/serving/text-generation-webui/exllama.md
- 使用 llama.cpp: llm/serving/text-generation-webui/llama-cpp.md
- RAG:
- RAG 資料同步: llm/rag/syncing-data-sources-to-vector-stores.md
- Vector Store:
- pgvector:
- pgvector 簡介: llm/rag/vector_store/pgvector/pgvector-readme.md
- PostgreSQL (pgvector) 擴展實作: llm/rag/vector_store/pgvector/setting-up-postgres-with-pgvector.md
- Text Splitters:
- 簡介: llm/rag/text_splitters/intro.md
- Huggingface:
- Datasets:
- 開始使用:
- 概述: huggingface/datasets/get-started/index.md
- 快速上手: huggingface/datasets/get-started/quickstart.md
- 安裝: huggingface/datasets/get-started/installation.md
- 教學:
- 概述: huggingface/datasets/tutorial/index.md
- 載入 dataset: huggingface/datasets/tutorial/load_hub.md
- 了解 dataset: huggingface/datasets/tutorial/access.md
- 數據預處理: huggingface/datasets/tutorial/use_dataset.md
- 創建 dataset: huggingface/datasets/tutorial/create_dataset.md
- 公開與共享 dataset: huggingface/datasets/tutorial/upload_dataset.md
- 操作指南:
- 概述: huggingface/datasets/how_to/overview.md
- 基本用法:
- 載入 Dataset : huggingface/datasets/how_to/general_usage/loading.md
- 數據處理: huggingface/datasets/how_to/general_usage/process.md
- 數據串流: huggingface/datasets/how_to/general_usage/stream.md
- 結合 Tensorflow 使用: huggingface/datasets/how_to/general_usage/use_with_tensorflow.md
- 結合 PyTorch 使用: huggingface/datasets/how_to/general_usage/use_with_pytorch.md
- 結合 JAX 使用: huggingface/datasets/how_to/general_usage/use_with_jax.md
- 結合 Spark 使用: huggingface/datasets/how_to/general_usage/use_with_spark.md
- 緩存 management: huggingface/datasets/how_to/general_usage/cache.md
- 雲存儲服務整合: huggingface/datasets/how_to/general_usage/filesystems.md
- Audio 數據:
- 載入 audio data: huggingface/datasets/audio/audio_load.md
- 處理 audio data: huggingface/datasets/audio/audio_process.md
- 創建 audio dataset: huggingface/datasets/audio/audio_dataset.md
- Vision 數據:
- 載入 image data: huggingface/datasets/vision/image_load.md
- 處理 image data: huggingface/datasets/vision/image_process.md
- 創建 image dataset: huggingface/datasets/vision/image_dataset.md
- Depth estimation: huggingface/datasets/vision/depth_estimation.md
- Image classification: huggingface/datasets/vision/image_classification.md
- Semantic segmentation: huggingface/datasets/vision/semantic_segmentation.md
- Object detection: huggingface/datasets/vision/object_detection.md
- Text 數據:
- 載入 text data: huggingface/datasets/text/nlp_load.md
- 處理 text data: huggingface/datasets/text/nlp_process.md
- Tabular 數據:
- 載入 tabular data: huggingface/datasets/tabular/tabular_load.md
- 底層概念:
- Dataset 與 Arrow: huggingface/datasets/conceptual_guides/about_arrow.md
- Dataset 緩存與指紋: huggingface/datasets/conceptual_guides/about_cache.md
- Dataset 與 IterableDataset 的差異: huggingface/datasets/conceptual_guides/about_mapstyle_vs_iterable.md
- Dataset features: huggingface/datasets/conceptual_guides/about_dataset_features.md
- Dataset 構建並加載: huggingface/datasets/conceptual_guides/about_dataset_load.md
- 批次 mapping: huggingface/datasets/conceptual_guides/about_map_batch.md
- Finetuning:
- PEFT:
- LoRA:
- LoRA 實現大模型 LLM 微調: huggingface/finetune/peft/lora/llm-finetune-with-lora.md
- Adapter:
- 從 Prefix Tuning 到 LLaMA-Adapter: huggingface/finetune/peft/adapter/understanding-llama-adapters.md
- Tutorials:
- Tokenizer:
- 概念:
- LLM 微調步驟-Tokenizing: huggingface/tutorials/tokenizer/fine-tuning-step-tokenizing.md
- SentencePiece:
- SentencePiece 原理與實踐: huggingface/tutorials/tokenizer/sentencepiece-concept.md
- Transfomer模型:
- PyTorch Transformer 詳細指南: huggingface/tutorials/transformer/a-detailed-guide-to-pytorchs-nn-transformer-module.md
- 模型微調:
- Llama2-7B:
- 使用單一 GPU 微調 LLaMA2: huggingface/tutorials/llama2/fine-tuning-llama-2-models-using-a-single-gpu.md
- Falcon-7B:
- 運行 Falcon-7B-Instruct 使用 4bit 量化: huggingface/tutorials/falcon/falcon-7b-instruct-using-4-bit-quantization.md
- Falcon 模型提供推論服務使用 🤗 TGI: huggingface/tutorials/falcon/serving-falcon-models-with-tgi.md
- LLM 分片(sharding): huggingface/tutorials/falcon/sharding-large-models.md
- Cohere:
- LEARN:
- 關鍵概念:
- Embeddings: cohere/learn/embeddings.md
- Prompt Engineering: cohere/learn/prompt-engineering.md
- Tokens: cohere/learn/tokens.md
- 生成:
- Likelihood: cohere/generation/likelihood.md
- Number of Generations: cohere/generation/number-of-generations.md
- Temperature: cohere/generation/temperature.md
- Top-k & Top-p: cohere/generation/top-k-top-p.md
- Retrieval Augmented Generation (RAG): cohere/generation/rag.md
- OpenAI:
- Get Started:
- 簡介: openai/get_started/introduction.md
- 快速入門: openai/get_started/quickstart.md
- Capabilities:
- Text generation: openai/capabilities/text-generation.md
- Function calling:
- 簡介: openai/capabilities/function-calling/index.md
- 範例:
- Function calling 功能: openai/capabilities/function-calling/openai-function-calling-feature.md
- Embeddings: openai/capabilities/embeddings.md
- Text-to-speech: openai/capabilities/text-to-speech.md
- Speech-to-text: openai/capabilities/speech-to-text.md
- Guides:
- 提示工程:
- 提示工程指南: openai/guides/prompt-engineering/index.md
- 六個提示工程策略: openai/guides/prompt-engineering/six-strategies-for-getting-better-results.md
- 範例:
- 提示範例: openai/guides/prompt-engineering/examples/index.md
- Grammar correction: openai/guides/prompt-engineering/examples/default-grammar.md
- Parse unstructured data: openai/guides/prompt-engineering/examples/default-parse-data.md
- Calculate time complexity: openai/guides/prompt-engineering/examples/default-time-complexity.md
- Keywords: openai/guides/prompt-engineering/examples/default-keywords.md
- Python bug fixer: openai/guides/prompt-engineering/examples/default-fix-python-bugs.md
- Tweet classifier: openai/guides/prompt-engineering/examples/default-tweet-classifier.md
- Mood to color: openai/guides/prompt-engineering/examples/default-mood-color.md
- Marv the sarcastic chat bot: openai/guides/prompt-engineering/examples/default-marv-sarcastic-chat.md
- Interview questions: openai/guides/prompt-engineering/examples/default-interview-questions.md
- Improve code efficiency: openai/guides/prompt-engineering/examples/default-code-improvement.md
- Emoji chatbot: openai/guides/prompt-engineering/examples/default-emoji-chatbot.md
- Socratic tutor: openai/guides/prompt-engineering/examples/default-socratic-tutor.md
- Meeting notes summarizer: openai/guides/prompt-engineering/examples/default-meeting-notes-summarizer.md
- Pro and con discusser: openai/guides/prompt-engineering/examples/default-pro-con-discusser.md
- Summarize for a 2nd grader: openai/guides/prompt-engineering/examples/default-summarize.md
- Emoji Translation: openai/guides/prompt-engineering/examples/default-emoji-translation.md
- Explain code: openai/guides/prompt-engineering/examples/default-explain-code.md
- Product name generator: openai/guides/prompt-engineering/examples/default-product-name-gen.md
- Spreadsheet creator: openai/guides/prompt-engineering/examples/default-spreadsheet-gen.md
- Airport code extractor: openai/guides/prompt-engineering/examples/default-airport-codes.md
- VR fitness idea generator: openai/guides/prompt-engineering/examples/default-vr-fitness.md
- Turn by turn directions: openai/guides/prompt-engineering/examples/default-turn-by-turn-directions.md
- Function from specification: openai/guides/prompt-engineering/examples/default-function-from-spec.md
- Single page website creator: openai/guides/prompt-engineering/examples/default-single-page-website.md
- Memo writer: openai/guides/prompt-engineering/examples/default-memo-writer.md
- Translation: openai/guides/prompt-engineering/examples/default-translation.md
- Natural language to SQL: openai/guides/prompt-engineering/examples/default-sql-translate.md
- Review classifier: openai/guides/prompt-engineering/examples/default-review-classifier.md
- Lesson plan writer: openai/guides/prompt-engineering/examples/default-lesson-plan-writer.md
- 安全最佳實踐: openai/guides/safety-best-practices.md
- Prompt:
- Prompt Engineering:
- 提示工程指南: prompt/prompt-engineering/index.md
- 提示工程簡介:
- 簡介: prompt/prompt-engineering/introduction/index.md
- 模型參數設定: prompt/prompt-engineering/introduction/settings.md
- 基本概念: prompt/prompt-engineering/introduction/basics.md
- 提示詞要素: prompt/prompt-engineering/introduction/elements.md
- 設計提示的通用技巧: prompt/prompt-engineering/introduction/tips.md
- 提示範例: prompt/prompt-engineering/introduction/examples.md
- 提示技術:
- 簡介: prompt/prompt-engineering/techniques/index.md
- 零樣本提示: prompt/prompt-engineering/techniques/zeroshot.md
- 少樣本提示: prompt/prompt-engineering/techniques/fewshot.md
- 鍊式思考(CoT): prompt/prompt-engineering/techniques/cot.md
- 自我一致性: prompt/prompt-engineering/techniques/consistency.md
- 生成知識提示: prompt/prompt-engineering/techniques/knowledge.md
- 思維樹(ToT): prompt/prompt-engineering/techniques/tot.md
- 檢索增強生成(RAG): prompt/prompt-engineering/techniques/rag.md
- 自動推理並使用工具(ART): prompt/prompt-engineering/techniques/art.md
- 自動提示工程(APE): prompt/prompt-engineering/techniques/ape.md
- 方向性刺激提示: prompt/prompt-engineering/techniques/dsp.md
- ReAct 框架: prompt/prompt-engineering/techniques/react.md
- 多模態思維鏈提示: prompt/prompt-engineering/techniques/multimodalcot.md
- Active-Prompt: prompt/prompt-engineering/techniques/activeprompt.md
- Copilot:
- Continue:
- 簡介: copilot/continue/intro.md
- LangChain:
- 參考文件:
- 開始使用:
- 介紹: langchain/docs/get_started/introduction.md
- 安裝: langchain/docs/get_started/installation.md
- 快速開始: langchain/docs/get_started/quickstart.md
- Langchain 表達語言:
- 基本說明: langchain/docs/expression_language/index.md
- 快速入門: langchain/docs/expression_language/get_started.md
- 模組:
- Model I/O:
- 基本說明: langchain/docs/modules/model_io/index.md
- Prompts:
- 基本說明: langchain/docs/modules/model_io/prompts/index.md
- Prompt templates:
- 基本說明: langchain/docs/modules/model_io/prompts/prompt_templates/index.md
- 連接到 Feature Store: langchain/docs/modules/model_io/prompts/prompt_templates/connecting_to_a_feature_store.md
- Retrieval:
- 基本說明: langchain/docs/modules/retrieval/index.md
- 文件載入器:
- 基本說明: langchain/docs/modules/retrieval/document_loaders/index.md
- CSV: langchain/docs/modules/retrieval/document_loaders/csv.md
- File Directory: langchain/docs/modules/retrieval/document_loaders/file_directory.md
- HTML: langchain/docs/modules/retrieval/document_loaders/html.md
- JSON: langchain/docs/modules/retrieval/document_loaders/json.md
- Markdown: langchain/docs/modules/retrieval/document_loaders/markdown.md
- PDF: langchain/docs/modules/retrieval/document_loaders/pdf.md
- 文件轉換器:
- 基本說明: langchain/docs/modules/retrieval/document_transformers/index.md
- Text splitters:
- Split by character: langchain/docs/modules/retrieval/document_transformers/text_splitters/character_text_splitter.md
- Split code: langchain/docs/modules/retrieval/document_transformers/text_splitters/code_splitter.md
- MarkdownHeaderTextSplitter: langchain/docs/modules/retrieval/document_transformers/text_splitters/markdown_header_metadata.md
- Recursively split by character: langchain/docs/modules/retrieval/document_transformers/text_splitters/recursive_text_splitter.md
- Split by tokens: langchain/docs/modules/retrieval/document_transformers/text_splitters/split_by_token.md
- Post retrieval:
- Lost in the middle: langchain/docs/modules/retrieval/document_transformers/post_retrieval/long_context_reorder.md
- 文本 embedding 模型:
- 基本說明: langchain/docs/modules/retrieval/text_embedding/index.md
- 快取: langchain/docs/modules/retrieval/text_embedding/caching_embeddings.md
- Vector 存諸:
- 基本說明: langchain/docs/modules/retrieval/vectorstores/index.md
- Retrievers:
- 基本說明: langchain/docs/modules/retrieval/retrievers/index.md
- MultiQueryRetriever: langchain/docs/modules/retrieval/retrievers/multi_query_retriever.md
- Contextual compression: langchain/docs/modules/retrieval/retrievers/contextual_compression.md
- Ensemble Retriever: langchain/docs/modules/retrieval/retrievers/ensemble.md
- MultiVector Retriever: langchain/docs/modules/retrieval/retrievers/multi_vector.md
- Parent Document Retriever: langchain/docs/modules/retrieval/retrievers/parent_document_retriever.md
- Self-querying: langchain/docs/modules/retrieval/retrievers/self_query.md
- Time-weighted vector store retriever: langchain/docs/modules/retrieval/retrievers/time_weighted_vectorstore.md
- Vector store-backed retriever: langchain/docs/modules/retrieval/retrievers/vectorstore.md
- WebResearchRetriever: langchain/docs/modules/retrieval/retrievers/web_research.md
- 索引(增刪修): langchain/docs/modules/retrieval/indexing.md
- Agents:
- 基本說明: langchain/docs/modules/agents/index.md
- 快速入門: langchain/docs/modules/agents/quick_start.md
- 概念: langchain/docs/modules/agents/concepts.md
- 代理類型:
- 基本說明: langchain/docs/modules/agents/agent_types/index.md
- OpenAI functions: langchain/docs/modules/agents/agent_types/openai_functions_agent.md
- OpenAI tools: langchain/docs/modules/agents/agent_types/openai_tools.md
- ReAct: langchain/docs/modules/agents/agent_types/react.md
- Tools:
- 基本說明: langchain/docs/modules/agents/tools/index.md
- Toolkits: langchain/docs/modules/agents/tools/toolkits.md
- 定義 Custom Tools: langchain/docs/modules/agents/tools/custom_tools.md
- Tools 轉換成 OpenAI Functions: langchain/docs/modules/agents/tools/tools_as_openai_functions.md
- 使用案例:
- SQL: langchain/use_cases/sql/index.md
- Extraction: langchain/use_cases/extraction/index.md
- Tool use:
- 基本說明: langchain/use_cases/tool_use/index.md
- 模組整合:
- Components:
- LLMs:
- OpenLLM: langchain/integrations/components/llms/openllm.md
- Tutorial:
- Langchain 教學:
- 1. 入門教學篇: langchain/tutorials/apollo/tutorial-get-started.md
- 2. 認識的LCEL: langchain/tutorials/apollo/expression-language.md
- 3. 動態修改Chain的設定: langchain/tutorials/apollo/configure-chain-at-runtime.md
- 4. 用LangServe架API: langchain/tutorials/apollo/langchain-langserve.md
- Agent:
- LLM agents 下一個軟體平台轉變: langchain/tutorials/agent/llm-agents-the-next-platform-shift.md
- 什麼是 AI agent: langchain/tutorials/agent/what-is-an-ai-agent.md
- Langchain Agent 簡介: langchain/tutorials/agent/agent_intro.md
- RAG:
- 模組化 RAG 和 RAG 流程(1): langchain/tutorials/rag/rag_adv_part1.md
- 模組化 RAG 和 RAG 流程(2): langchain/tutorials/rag/rag_adv_part2.md
- LLM Observability:
- LLM 可觀察性研究: langchain/tutorials/observability/llm-observability-deep-dive.md
- LangServe:
- 使用 LangServe 建立 REST API: langchain/tutorials/langserve/build-rest-apis.md
- LangServe:
- 簡介: langchain/docs/langserve/index.md
- LangGraph:
- 簡介: langchain/docs/langgraph/langgraph.md
- AutoGluon:
- GET STARTED:
- Install: autogluon/install.md
- Tabular Quick Start: autogluon/tutorials/tabular/tabular-quick-start.md
- Time Series Quick Start: autogluon/tutorials/timeseries/forecasting-quick-start.md