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v5.chriskrycho.com | ||
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blog.pdebruin.org
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| | | | | Retrieval Augmented Generation Hackathon starts on September 3. Repo with more info, stream schedule, samples, registration: https://aka.ms/raghack Large language models are powerful language generators, but they don't know everything about the world. RAG combines the power of large language models with the knowledge of a search engine. This allows you to ask questions of your own data, and get answers that are relevant to the context of your question. LLM AI YouTube playlists Thanks for reading! :-) | |
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amatria.in
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| | | | | (Interestingly, this is the first time arXiV has declined a submission from me. I would give the editors kudos for finally taking their role seriously if it wasn't because I suspect this is simply the result of a poor algorithmic decision that detected I had used AI assistance in writing the paper and violated a rule of disclosing such use. More discussion on this topic in this LinkedIn post and the comments.) | |
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jeffreyladish.com
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| | | | | In this post I explain what we can and can't learn about AI sentience from conversations with Large Language Models. | |
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a16z.com
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| | | A curated list of resources we've relied on to get smarter about modern AI, including generative AI, LLMs, and transformer models. | ||
