Retrieval Augmentation AND Tweet
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43 Documents
LlamaIndex 🦙 sur X : "brand-new course on Building Agentic RAG with LlamaIndex with @DeepLearningAI + @AndrewYNg..."
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2024-05-09 A propos
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 A propos
LlamaIndex 🦙 sur X : "RAFT - Retrieval Augmented Fine Tuning..."
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2024-03-28 A propos
Akshay 🚀 sur X : "Let's build a "Chat with your code" RAG application, step-by-step"
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2024-03-09 A propos
Krista Opsahl-Ong sur X : "Got a pipeline with **multiple prompts**, like a DSPy program? ... Introducing MIPRO, a Multi-prompt Instruction Proposal Optimizer...."
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2024-03-09 A propos
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 A propos
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 A propos
Omar Khattab sur X : "ColBERT in 81 languages by generalizing from English training! ..."
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2024-02-28 A propos
Omar Khattab sur X : "A thread on late interaction, how it works efficiently, and why/where it's been shown to improve quality"
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2024-02-05 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
Craig Macdonald sur X : "a thread of our main ColBERT research findings"
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2024-02-01 A propos
Jo Kristian Bergum sur X : (on "why using ColBERT?")
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2024-01-28 A propos
LlamaIndex 🦙 sur X : "Use RAG to build advanced text-to-SQL..."
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2024-01-24 A propos
Jerry Liu sur X : "4 Levels of Agents for RAG..."
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2024-01-23 A propos
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 A propos
Ravi Theja sur X : "Propositions as Chunks to Improve RAG Performance with @llama_index..."
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2024-01-02 A propos
Omar Khattab sur X : "...Let's use 30 lines of DSPy—without any hand-written prompts or any calls to OpenAI ($0)—to teach..."
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2024-01-01 A propos
Omar Khattab sur X : "A🧵on beating the hardware lottery for retrieval: the internals of the late interaction stack. ColBERT..."
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2023-12-29 A propos
Jerry Liu sur X : "Naive chunking strategies cause poor RAG performance...."
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2023-12-06 A propos
LlamaIndex 🦙 sur X : "A big issue with RAG is that stuffing more context ≠ better...
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2023-11-07 A propos
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 A propos
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 A propos
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 A propos
Omar Khattab sur X : "This isn't the main point of this great new paper by @sophiaalthammer et al. But it's incredible how ColBERT at 1000 training queries is better than DPR trained at *50,000* queries!"
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2023-09-14 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
Omar Khattab sur X : "Announcing 𝗗𝗦𝗣y..."
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2023-08-24 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 : "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 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
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..."
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2023-04-11 A propos
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 A propos
fly51fly sur Twitter : "REPLUG: Retrieval-Augmented Black-Box Language Models..."
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2023-01-31 A propos
Omar Khattab sur Twitter : "New features in 𝗖𝗼𝗹𝗕𝗘𝗥𝗧 ‣ Index Updater. Simple API to add/remove documents..."
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2023-01-30 A propos
Uri Alon sur Twitter : "K-nearest neighbors language models (kNN-LMs; @ukhndlwl et al., ICLR'2020) improve the perplexity of standard LMs... Why?"
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2023-01-11 A propos
Yi Tay sur Twitter : "Don't retrieve, recite!..."
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2022-10-06 A propos
Jason Weston sur Twitter : "SeeKeR: An open source search-augmented language model"
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2022-03-25 A propos
Hugging Face sur Twitter : "Transformers release of the Retrieval-Augmented Generation model in collaboration with @facebookai!"
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2021-02-23 A propos