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スライド 4 枚57:55EN
Matthew Berman· 2024年8月12日A 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 agents検索拡張生成(RAG)評価(Evals)+2
スライド 6 枚38:07EN
Matthew Berman· 2023年10月26日AutoGen 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.エージェント工学Agent orchestration検索拡張生成(RAG)+2
スライド 4 枚32:14EN
Matthew Berman· 2023年10月20日MemGPT: 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 memoryコンテキストエンジニアリング検索拡張生成(RAG)+2
スライド 5 枚59:36EN
Matthew Berman· 2023年6月27日Pascal 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.ファインチューニング検索拡張生成(RAG)Open-weight models+2