Jerry Liu sur Twitter : "If you’re building “chat over your PDFs” with LLMs, you need to deal with the pesky issue of how to parse embedded tables/diagrams..."
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Jerry Liu sur X : "a big step towards better RAG... is to just have a really nice PDF parser. It’s so important because a good parser unlocks way more interesting indexing/retrieval strategies…"
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2024-02-23 A propos
Jerry Liu sur X : "Build a RAG backend over any website in a single CLI command ..."
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2024-02-03 A propos
Jerry Liu sur X : "There's different ways you can parse embedded tables for RAG..."
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2023-12-02 A propos
Jerry Liu sur X : "A simple trick to improve retrieval for RAG 💡: Embed “references” to each text chunk instead of the chunk itself (e.g. smaller chunks, summaries)..."
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2023-09-06 A propos
Jerry Liu sur X : "how do you get a good retrieval dataset w/o spending a ton of money on human labels? Answer: use LLMs"
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2023-08-30 A propos
Jerry Liu sur X : "One major way to improve your RAG system is to fine-tune your embedding model"
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2023-08-25 A propos
Jerry Liu sur X : "8 key considerations for building *production-grade* LLM apps over your data (RAG)..."
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2023-08-20 A propos
Jerry Liu on X: “Graph RAG” in @llama_index: a new method of augmenting LLMs with context from a graph database
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2023-08-17 A propos
Jerry Liu sur Twitter : "Some critical data considerations that you must take into account to make your LLM application production-ready"
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2023-07-23 A propos
Jerry Liu sur Twitter : "Using cross-encoding as a reranking step can dramatically speed up LLM inference time AND improve accuracy!"
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2023-07-20 A propos
Jerry Liu sur Twitter : Hot take: if you want to... deliver technical differentiation, you will need to learn LLM development in a “bottoms-up” fashion
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2023-07-16 A propos
Jerry Liu sur Twitter : "The `camelot` package is an awesome module for extracting tables from PDFs..."
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2023-07-03 A propos
Jerry Liu sur Twitter : "The DSP project carries a lot of insights for improving RAG..."
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2023-06-18 A propos