Tweet ; Pre-Trained Language Models AND Information retrieval
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36 Documents
LlamaIndex 🦙 sur X : "An emerging technique to better represent your data for RAG/LLM applications is to only chunk the data, but also hierarchically cluster and index it..."
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2024-03-30 About
LlamaIndex 🦙 sur X : "RAFT - Retrieval Augmented Fine Tuning..."
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2024-03-28 About
raphaelsrty sur X : "My personal Knowledge Base made to the front page of HackerNews today..."
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2024-03-23 About
Akshay 🚀 sur X : "Let's build a "Chat with your code" RAG application, step-by-step"
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2024-03-09 About
Hrishi sur X : "RAPTOR is... one of the very few [RAG architectures] that actively presumes and uses the structure in a document...."
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2024-03-09 About
Jerry Liu sur X : "To better augment LLMs with context, it makes a lot of sense to organize context not just as a flat list of text chunks, but as a hierarchy of high-level to low-level details. RAPTOR..."
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2024-03-03 About
Jerry Liu sur X : "Build a RAG backend over any website in a single CLI command ..."
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2024-02-03 About
LlamaIndex 🦙 sur X : "Use RAG to build advanced text-to-SQL..."
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2024-01-24 About
Jerry Liu sur X : "4 Levels of Agents for RAG..."
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2024-01-23 About
LlamaIndex: "Instead of using a global fixed chunk size for RAG, try splitting based on the semantics of the text"
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2024-01-13 About
Ravi Theja sur X : "Propositions as Chunks to Improve RAG Performance with @llama_index..."
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2024-01-02 About
Jerry Liu sur X : "Naive chunking strategies cause poor RAG performance...."
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2023-12-06 About
LlamaIndex 🦙 sur X : "A big issue with RAG is that stuffing more context ≠ better...
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2023-11-07 About
Rohan sur X : "Multi Document Agent architecture (v0) in @llama_index... allows answering broader set of questions over multiple documents..."
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2023-10-02 About
Rohan sur X : "smaller chunks are good for capturing semantic meaning and larger ones are good for providing better context. @llama_index AutoMergingRetriever takes it one step further..."
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2023-09-30 About
Jerry Liu sur X : "evaluating RAG: purely evaluating retrieval metrics (MRR, precision) isn’t the whole picture - you need end-to-end response evals..."
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2023-09-26 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)..."
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2023-09-06 About
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 About
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 About
Jerry Liu sur X : "8 key considerations for building *production-grade* LLM apps over your data (RAG)..."
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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
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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"
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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!"
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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
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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..."
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2023-07-07 About
Jerry Liu sur Twitter : "The DSP project carries a lot of insights for improving RAG..."
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2023-06-18 About
Jerry Liu sur Twitter : "Tuning top-k for semantic search is challenging... Introducing the LlamaIndex AutoRetriever for vector databases"
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2023-05-13 About
Jerry Liu sur Twitter : "LlamaIndex: define your *own* (simplified) hybrid search"
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2023-04-29 About
Jerry Liu sur Twitter : "Sparse-Dense Hybrid Search..."
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2023-04-09 About
Jo Kristian Bergum sur Twitter : "Do GTP embeddings work for our domain?"
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2023-04-07 About
Jo Kristian Bergum sur Twitter : "The movement around connecting LLMs with your data via retrieval augmentation seems to lack a focus on retrieval quality."
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2023-04-07 About
deepset sur Twitter : " Generative models have taken the world of NLP by storm. But LLMs do not know about your personal data. This makes personal assistants, enterprise knowledge management and many other applications challenging. Retrieval augmented pipelines are the answer"
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2023-02-02 About
Akari Asai sur Twitter : "Can we solely rely on LLMs’ memories (eg replace search w ChatGPT)? Probably not... Our analysis shows how retrieval is complementary to LLMs’ parametric knowledge..."
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2022-12-21 About
Nils Reimers sur Twitter : "New models for Neural Information Retrieval..."
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2021-04-17 About
Rodrigo Nogueira sur Twitter : "Slides of our WSDM 2021 tutorial "Pretrained Transformers for Text Ranking: BERT and Beyond"
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2021-03-09 About
Hugging Face sur Twitter : "Transformers release of the Retrieval-Augmented Generation model in collaboration with @facebookai!"
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2021-02-23 About