From 9d3b29bbe05f0ae644eee0a20c0a203467bb9061 Mon Sep 17 00:00:00 2001 From: www-data Date: Fri, 13 Dec 2024 03:16:13 +0000 Subject: [PATCH] add assets identified by bot --- assets/microsoft.yaml | 30 ++++++++++++++++++++++++++++++ 1 file changed, 30 insertions(+) diff --git a/assets/microsoft.yaml b/assets/microsoft.yaml index 137996a4..1e18c38d 100644 --- a/assets/microsoft.yaml +++ b/assets/microsoft.yaml @@ -1032,3 +1032,33 @@ use case, particularly for high risk scenarios. monitoring: Unknown feedback: Unknown +- type: model + name: Phi-4 + organization: Microsoft + description: "Phi-4 is the latest member of our Phi family of small language models and demonstrates what’s possible as we continue to probe the boundaries of SLMs. Phi-4 outperforms comparable and larger models on math related reasoning due to advancements throughout the processes, including the use of high-quality synthetic datasets, curation of high-quality organic data, and post-training innovations." + created_date: 2024-12-13 + url: https://aka.ms/phi4blog + model_card: unknown + modality: + explanation: "Phi-4, the latest small language model in Phi family, that offers high quality results at a small size (14B parameters)." + value: text; text + analysis: "Phi-4 outperforms comparable and larger models on math related reasoning due to advancements throughout the processes, including the use of high-quality synthetic datasets, curation of high-quality organic data, and post-training innovations." + size: + explanation: "Phi-4, the latest small language model in Phi family, that offers high quality results at a small size (14B parameters)." + value: 14B parameters + dependencies: [] + training_emissions: unknown + training_time: unknown + training_hardware: unknown + quality_control: "Azure AI evaluations in AI Foundry enable developers to iteratively assess the quality and safety of models and applications using built-in and custom metrics to inform mitigations." + access: + explanation: "Phi-4 is currently available on Azure AI Foundry under a Microsoft Research License Agreement (MSRLA) and will be available on Hugging Face next week." + value: limited + license: + explanation: "Phi-4 is currently available on Azure AI Foundry under a Microsoft Research License Agreement (MSRLA)" + value: Microsoft Research License Agreement (MSRLA) + intended_uses: Complex reasoning in areas such as math, and conventional language processing. + prohibited_uses: unknown + monitoring: "Once in production, developers can monitor their application for quality and safety, adversarial prompt attacks, and data integrity, making timely interventions with the help of real-time alerts." + feedback: unknown +