Florian JuneinTowards AIThe Best Practices of RAGTypical RAG Process, Best Practices for Each Module, and Comprehensive EvaluationAug 82Aug 82
Florian JuneinAI AdvancesWill Long-Context LLMs Cause the Extinction of RAGIntuitive Perspective, Academic Research, and InsightsAug 16Aug 16
Florian JuneinAI AdvancesThree Practical Challenges of RAG and Their Mitigation IdeasStrategies for Overcoming Obstacles in Real-World RAG ProjectsJul 133Jul 133
Florian JuneinAI AdvancesDemystifying PDF Parsing 04: OCR-Free Large Multimodal Model-Based MethodPrinciples, Insights and ThoughtsJul 12Jul 12
Florian JuneinAI AdvancesAdvanced RAG 12: Enhancing Global UnderstandingPriciples, Code Explanation and InsightsJun 121Jun 121
Florian JuneinAI AdvancesDemystifying PDF Parsing 03: OCR-Free Small Model-Based MethodOverview, Principles and InsightsJun 12Jun 12
Florian JuneinAI AdvancesDemystifying PDF Parsing 02: Pipeline-Based MethodOverview, Implementation Strategies and InsightsMay 212May 212
Florian JuneinAI AdvancesAdvanced RAG 11: Query Classification and RefinementPriciples, Code Explanation and Insights about Adaptive-RAG and RQ-RAGMay 112May 112
Florian JuneMain Stages of Auto-regressive Decoding for LLM InferenceThe Graphical Explanation of Prefill Stage and Decoding StageMay 6May 6
Florian JuneinGenerative AIDemystifying PDF Parsing 01: OverviewTask Definition, Method Classification and Method Introduction to PDF ParsingMay 5May 5