Favoris ; Machine learning AND Tree structure
Common descendants
9 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
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
Raptor Retriever LlamaPack
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2024-03-03 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
raphaelsty/neural-tree: Tree-based indexes for neural-search
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2024-02-28 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
Evidence of a predictive coding hierarchy in the human brain listening to speech | Nature Human Behaviour
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2023-04-16 About
shikhar sur Twitter : "Instead of asking whether tree structure should be baked into NNs, our new paper asks if transformers already have a tendency to learn tree structured computations when trained on language, and if this structure is predictive of generalization! "
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2022-12-09 About
Semantic Text Matching for Long-Form Documents (2019)
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2020-01-23 About