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zackproser.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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blog.pamelafox.org
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| | | | | Lately, I've been digging into vector embeddings , since they're such an important part of the RAG (Retrieval Augmented Generation) pattern ... | |
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github.com
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| | | | | Retrieval Augmented Generation (RAG) on audio data with LangChain - AssemblyAI-Community/rag-langchain-audio-data | |
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brunoscheufler.com
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| | | Transactions are an amazing concept: You perform some work, and only if everything succeeds, the results get persisted. If something in between fails, the system will simply roll back and thus undo all changes. Until a transaction is committed, no one can see its changes.... | ||
