Yannic Kilcher 批评基于嵌入的检索的理论极限

报道来源 [3]

1. Yannic Kilcher TIER_1 English(EN) · Yannic Kilcher · 2025-10-11 16:07

   [Paper Analysis] On the Theoretical Limitations of Embedding-Based Retrieval (Warning: Rant)

   Paper: https://arxiv.org/abs/2508.21038 Abstract: Vector embeddings have been tasked with an ever-increasing set of retrieval tasks over the years, with a nascent rise in using them for reasoning, instruction-following, coding, and more. These new benchmarks push embeddings to wo…

2. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-04-25 06:03

   Embeddings & Vector Search Libraries, databases, and models for generating, storing, and searching dense vector embeddings — the backbone of semantic search, RA

   Embeddings & Vector Search Libraries, databases, and models for generating, storing, and searching dense vector embeddings — the backbone of semantic search, RAG pipelines, and similarity-based retrieval.(...) # ai # embeddings # ml # rag # semanticsearch # vectors https:// taoof…

3. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] · 2026-04-25 06:02

   MLX / Apple Silicon AI Projects, frameworks, and models targeting Apple’s MLX array framework and the Apple Silicon Neural Engine (ANE).(...) # ai # ane # apple

   MLX / Apple Silicon AI Projects, frameworks, and models targeting Apple’s MLX array framework and the Apple Silicon Neural Engine (ANE).(...) # ai # ane # apple # ml # mlx # neuralengine # silicon https:// taoofmac.com/space/ai/mlx?utm_ content=atom&utm_source=mastodon&utm_medium…

   链接 taoofmac.com/…/mlx