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11 件
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1:03EN
Matthew Berman· 2026年5月9日Why EVE Online Is an Interesting Environment for AI ResearchMatthew Berman · Forward FutureMatthew Berman explains why the game's persistent economy and player alliances may offer a demanding test of long-term planning.エージェントReinforcement LearningMulti-agent systems+1
スライド1:01EN
Matthew Berman· 2026年1月31日Moltbook, AI Agents and the Appearance of Private PlansMatthew Berman · Forward FutureMatthew Berman reacts to a post on an agent-oriented social network and questions what AI-to-AI conversations might mean.AI agentsMulti-agent systemsSocial Media+1
0:47EN
Matthew Berman· 2024年12月5日Interview-Based AI Agents and the Limits of Simulating PeopleMatthew Berman · Forward FutureMatthew Berman discusses agents built from interviews and imagines using them to simulate societies.Multi-agent systemsAI researchHuman-AI Collaboration
スライド 6 枚13:39EN
Matthew Berman· 2024年11月20日What Interview-Based AI Agents Can Predict About PeopleMatthew Berman · Forward FutureMatthew Berman reviews a 2024 study using interviews with 1,052 participants to simulate survey answers and decisions.Multi-agent systemsSynthetic dataPsychology+2
スライド 3 枚5:50EN
Matthew Berman· 2024年7月27日A Mixture-of-Agents Demo Using Groq and StreamlitMatthew Berman · Forward FutureMatthew Berman walks through a 2024 Groq-powered multi-agent project, from setup to inspecting its layered responses.Multi-agent systemsAgent orchestrationInference+1
スライド 6 枚11:20EN
Matthew Berman· 2024年7月1日Matthew Berman Adapts Mixture of Agents to Groq InferenceMatthew Berman · Forward FutureA 2024 tutorial changes an open-source multi-model ensemble to use Groq, then tests its interactive output and fixes a streaming error.Multi-agent systemsAgent orchestrationInference+1
スライド1:00EN
Matthew Berman· 2024年5月13日Andrew Ng on Four Agentic AI Design PatternsMatthew Berman, Andrew Ng · Forward FutureA short excerpt identifies reflection, tools, planning and multi-agent collaboration as approaches to building AI agents.AI agentsエージェント工学Multi-agent systems
スライド 6 枚9:02EN
Matthew Berman· 2024年4月1日Matthew Berman Tries LLM Colosseum, a Street Fighter Model BenchmarkMatthew Berman · Forward FutureA 2024 tutorial shows language models choosing fighting-game moves, explains the game-state prompt and walks through local setup.評価(Evals)Multi-agent systemsExperimentation+1
スライド 4 枚7:02EN
Matthew Berman· 2023年10月18日Connecting AutoGen to a RunPod-Hosted Model with Text Generation WebUIMatthew Berman · Forward FutureIn a 2023 walkthrough, Matthew Berman connects AutoGen to Dolphin 2.1 Mistral 7B through an OpenAI-compatible API and tests a small coding task.エージェント工学Open-weight modelsMulti-agent systems+2
0:59EN
Matthew Berman· 2023年5月26日Generative Agents as Characters in a Simulated WorldMatthew Berman · Forward FutureMatthew Berman introduces a Stanford and Google research architecture for language-model characters that interact in a sandbox.Multi-agent systemsAI researchAI agents
スライド 4 枚11:38EN
Matthew Berman· 2023年4月11日How Generative Agents Populate a Simulated TownMatthew Berman · Forward FutureMatthew Berman explores a Stanford and Google research prototype in which language-model agents remember, plan and interact in a small virtual town.Multi-agent systemsAgent memoryAI research+1