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amatria.in
| | amatriain.net
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| | In this post I summarize the main advances in the area of LLM models, and particularly open source LLMs (including Falcon, LlaMa2, and Free Willy). I describe different leaderboards and what their current top positions mean. I enunciate the three laws of generative AI model evolution, and I ask GPT-4, Bard, and LlaMa 1 the implications of these laws.
| | blog.adnansiddiqi.me
1.8 parsecs away

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| | Learn the basics of Large Language Models (LLMs) in this introduction to GenAI series. Discover how LLMs work, their architecture, and practical applications like customer support, content creation, and software development.
| | 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! :-)
| | www.superannotate.com
16.5 parsecs away

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| Dive into LLM fine-tuning: its importance, types, methods, and best practices for optimizing language model performance.