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Hello, major kudos on your continued work on this project -- from the CodeStream's to the recent FieldSHIFT-2: Fully Synthetic Dissertations for All-by-All Domains stream, it is only becoming more and more exciting.
I've been working on recreating the overall environment you presented on my personal machine, given your brief comments on the setup during the Stream's at various times. While the framework is clearly not excessively sophisticated, just thought recording and spotlighting a brief tutorial on how to set up and contribute to the github would be useful for potential contributors!
Yes, let's work on this & make this resource/stream.
I can do a from-scratch setup on an extra laptop.
I can do a from-scratch setup on a Virtual Machine.
You can try to get it going yourself & report any frictions.
Then we can go over that overview, again on a InferAnt Stream (e.g. using it with a VM on stream).
Ideally all the requirements needed can be included in automated/clear ways.
Hello, major kudos on your continued work on this project -- from the CodeStream's to the recent FieldSHIFT-2: Fully Synthetic Dissertations for All-by-All Domains stream, it is only becoming more and more exciting.
I've been working on recreating the overall environment you presented on my personal machine, given your brief comments on the setup during the Stream's at various times. While the framework is clearly not excessively sophisticated, just thought recording and spotlighting a brief tutorial on how to set up and contribute to the github would be useful for potential contributors!
Best,
Andrew
P.S. A one-shot Q&A with an LLM on describing the setup: https://www.perplexity.ai/search/in-the-following-two-youtube-v-y56iLH_cQMKICPfaOQ1tbw
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