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Matthew Berman어제 +182AI Engineer어제 +6Theo - t3․gg어제The Builders어제 +1a16z어제 +2硅谷101어제 +1SemiAnalysis어제 +1Chris Williamson어제Cheeky Pint어제Invest Like The Best어제

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주제검색 증강 생성(RAG)인물Matthew Berman길이30분 이상
슬라이드 4장57:55EN
Matthew Berman· 2024년 8월 12일A First AI Livestream: Model Rumors, RAG, Agents, and Audience QuestionsMatthew Berman · Forward FutureMatthew Berman tests a livestream in August 2024 and answers viewers’ questions about AI tools, model evaluation, company knowledge, and future agents.AI agents검색 증강 생성(RAG)평가(Evals)+2
슬라이드 6장38:07EN
Matthew Berman· 2023년 10월 26일AutoGen Advanced Tutorial: Configuration, Memory, Retrieval and ToolsMatthew Berman · Forward FutureMatthew Berman walks through the 2023 AutoGen interface for multi-agent configuration, caching, retrieval, teachable memory and function calls.에이전트 엔지니어링Agent orchestration검색 증강 생성(RAG)+2
슬라이드 4장32:14EN
Matthew Berman· 2023년 10월 20일MemGPT: Managing LLM Memory Beyond a Fixed Context WindowMatthew Berman, Charles Packer, Vivian Fang · Forward FutureMatthew Berman reviews the 2023 research, demonstrates document retrieval and hears from authors Charles Packer and Vivian Fang about their plans.Agent memory컨텍스트 엔지니어링검색 증강 생성(RAG)+2
슬라이드 5장59:36EN
Matthew Berman· 2023년 6월 27일Pascal Pfeiffer on Retrieval, Open Models, Kaggle and Fine-Tuning with H2O LLM StudioMatthew Berman, Pascal Pfeiffer · Forward FutureIn a 2023 interview, H2O.ai’s Pascal Pfeiffer explains document retrieval and parameter-efficient fine-tuning, reflects on Kaggle competitions and demonstrates LLM Studio. He and Matthew Berman also consider coding assistants and unverified rumors about model architecture.파인튜닝검색 증강 생성(RAG)Open-weight models+2