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English(EN) Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Hørup Eskildsen of Turbopuffer

Latent Space 播客探讨 RAG、代理和无限上下文

作者 PulseAugur 编辑部 · [3 个来源] ·

Latent Space 播客播出了两期讨论人工智能进展的节目。第一期“检索在 RAG 之后”与 Turbopuffer 的 Simon Hørup Eskildsen 一起探讨了混合搜索、代理和数据库设计。第二期“MPT-7B 和上下文=无限的开始”由 MosaicML 的 Jonathan Frankle 和 Abhinav Venigalla 主持，深入探讨了 MPT-7B 模型和无限上下文的概念。 AI

影响 这些讨论提供了关于检索增强生成和大型上下文窗口等高级人工智能技术的见解，与人工智能从业者相关。

排序理由 该集群由讨论人工智能主题的播客节目组成，属于评论范畴。

在 Latent Space Podcast 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

Latent Space 播客探讨 RAG、代理和无限上下文

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该集群由讨论人工智能主题的播客节目组成，属于评论范畴。
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报道来源 [3]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Yafeng Deng ·

    SkillRep：Agent技能检索的表示设计空间的特征化与理解

    Retrieving the right skill from a large library is essential for LLM agents, yet requests and skills are written for different purposes and in different words. Existing retrievers narrow this request-skill gap with one or two representation choices each, so it is unknown whether …

  2. Latent Space Podcast TIER_1 English(EN) · Latent.Space ·

    RAG后的检索：混合搜索、代理和数据库设计 — Turbopuffer的Simon Hørup Eskildsen

    <p>Turbopuffer came out of a reading app. In 2022, Simon was helping his friends at Readwise scale their infra for a highly requested feature: article recommendations and semantic search. Readwise was paying ~$5k/month for their relational database and ve...</p>

  3. Latent Space Podcast TIER_1 English(EN) · Latent.Space ·

    MPT-7B 与 Context=Infinity 的开端 — MosaicML 的 Jonathan Frankle 和 Abhinav Venigalla 访谈

    <p>We are excited to be the first podcast in the world to release an in-depth interview on the new SOTA in commercially licensed open source models - MosiacML MPT-7B! The Latent Space crew will be at the NYC Lux AI Summit next week, and have two meetups i...</p>

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