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Machine Learning Limitations Bookmarks | William Callahan - Bookmarks

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A collection of bookmarks filtered by the tag "Machine Learning Limitations".

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On the Theoretical Limitations of Embedding-Based Retrieval

On the Theoretical Limitations of Embedding-Based Retrieval

Neural Retrieval Models Embedding-Based Retrieval Machine Learning Limitations

Sep 1, 2025

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perplexity.ai

October 1, 2026

Contextual embedding beyond the gold passage

Contextual embedding beyond the gold passage

A new training method, model, and benchmark for retrieving answers and their supporting context.

Knowledge Distillation Document Chunking Vector Search pplx-embed-v2 Contextual Embeddings

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anthropic.com

September 3, 2025

Introducing Contextual Retrieval

Introducing Contextual Retrieval

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems.

Retrieval Augmented Generation Semantic Search Techniques Anthropic Contextual Retrieval AI Knowledge Management

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qdrant.tech

September 3, 2025

BM42: New Baseline for Hybrid Search - Qdrant

BM42: New Baseline for Hybrid Search - Qdrant

Introducing BM42 - a new sparse embedding approach, which combines the benefits of exact keyword search with the intelligence of transformers.

Retrieval Augmented Generation Transformers in Information Retrieval Hybrid Search Methods Sparse Embeddings BM25 Algorithm

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