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"
Tags:
About This Document
File info
Documents with similar tags (experimental)
Jerry Liu sur X : "Build a RAG backend over any website in a single CLI command ..."
Tags:
2024-02-03 About
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)..."
Tags:
2023-09-06 About
Jerry Liu sur X : "One major way to improve your RAG system is to fine-tune your embedding model"
Tags:
2023-08-25 About
Jerry Liu sur X : "8 key considerations for building *production-grade* LLM apps over your data (RAG)..."
Tags:
2023-08-20 About
Jerry Liu on X: “Graph RAG” in @llama_index: a new method of augmenting LLMs with context from a graph database
Tags:
2023-08-17 About
Jerry Liu sur Twitter : "Some critical data considerations that you must take into account to make your LLM application production-ready"
Tags:
2023-07-23 About
Jerry Liu sur Twitter : "Using cross-encoding as a reranking step can dramatically speed up LLM inference time AND improve accuracy!"
Tags:
2023-07-20 About
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
Tags:
2023-07-16 About
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..."
Tags:
2023-07-07 About
Jerry Liu sur Twitter : "The DSP project carries a lot of insights for improving RAG..."
Tags:
2023-06-18 About
Jerry Liu sur Twitter : "To evaluate retrieval-augmented LLM’s, we can compare the query/response/source context to see if they match. We just added this to @gpt_index..."
Tags:
2023-04-11 About