PinnedPublished inTowards AIAdvanced RAG 02: Unveiling PDF ParsingIncluding key points, diagrams, and codeFeb 2, 2024A response icon23Feb 2, 2024A response icon23
PinnedAdvanced RAG 06: Exploring Query RewritingA key technique for aligning the semantics of queries and documentsMar 4, 2024A response icon6Mar 4, 2024A response icon6
PinnedPublished inAI AdvancesDemystifying PDF Parsing 02: Pipeline-Based MethodOverview, Implementation Strategies and InsightsMay 21, 2024A response icon1May 21, 2024A response icon1
PinnedPublished inAI AdvancesDemystifying PDF Parsing 03: OCR-Free Small Model-Based MethodOverview, Principles and InsightsJun 1, 2024A response icon2Jun 1, 2024A response icon2
Published inLevel Up CodingWhat Really Causes Hallucinations in LLMsPeople have been asking why LLMs hallucinate for years. In this piece, we look at how OpenAI’s latest research approaches this question.23h agoA response icon123h agoA response icon1
Published inAI Exploration JourneyRAG Without Revealing Your DocsHave you thought seriously about document privacy in RAG pipelines? This article might provide a direction that could help.Oct 30Oct 30
Published inTowards AITURA: Unifying RAG and Agents to Revolutionize AI SearchAI Innovations and Insights 70Oct 16Oct 16
Published inLevel Up CodingFrom Code Monkey to AI Architect: The Rise of LLM-Powered Coding AgentsClaude Code, Cusor, GitHub Copilot — AI Innovations and Insights 69Oct 9Oct 9
Published inTowards AIHow to Turn RAG into an “Information Sieve” — AI Innovations and Insights 68This is Chapter 68 of this insightful series!Oct 3A response icon1Oct 3A response icon1
Published inArtificial Intelligence in Plain EnglishRethinking Scanned Document Parsing with Layout-Aware RL — AI Innovations and Insights 67Enter layoutRL: Triple-Check Rewards + End-to-End SupervisionSep 21A response icon1Sep 21A response icon1