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슬라이드 5장28:16EN
Matthew Berman· 2026년 6월 9일Claude Fable 5 and Mythos 5: Matthew Berman Reviews Long-Running Coding WorkMatthew Berman · Forward FutureAn early Fable 5 user examines Anthropic’s benchmarks, safety controls, pricing and coding workflows, then demonstrates a Rubik’s Cube and a fluid simulation.Anthropic코딩 에이전트AI cost & performance+2
1:03EN
Matthew Berman· 2026년 5월 9일Why 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.에이전트Reinforcement LearningMulti-agent systems+1
슬라이드 10장33:44EN
Matthew Berman· 2026년 2월 17일How Matthew Berman Uses OpenClaw for a Personal AssistantMatthew Berman · Forward FutureA tour of customized CRM, meeting, research and security workflows, along with the limits of automation and the need for backups.Personal agentsWorkflow automationAgent memory+2
슬라이드 6장15:44EN
Matthew Berman· 2026년 2월 3일OpenClaw, Moltbook and the Question of an Agent InternetMatthew Berman · Forward FutureMatthew Berman surveys early agent social networks and marketplaces, weighs enthusiasm against security concerns, and considers what their behavior does—and does not—show.Personal agentsMulti-agent systemsAI security+2
슬라이드1:01EN
Matthew Berman· 2026년 1월 31일Moltbook, 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
슬라이드 7장15:29EN
Matthew Berman· 2025년 9월 24일Building a Multi-Agent Research Team with Strands AgentsMatthew Berman · Forward FutureMatthew Berman builds from a calculator agent to a multi-agent business-report demo, with examples of tools, model selection and orchestration.에이전트 엔지니어링Multi-agent systemsAgent orchestration+2
슬라이드 6장17:04EN
Matthew Berman· 2025년 2월 22일Training AI Agents to Communicate in a Social-Deduction GameMatthew Berman · Forward FutureMatthew Berman explains Stanford researchers’ listening and speaking objectives in a simulated game inspired by Among Us.Multi-agent systemsReinforcement Learning평가(Evals)+1
0:47EN
Matthew Berman· 2024년 12월 5일Interview-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
슬라이드 6장13:39EN
Matthew Berman· 2024년 11월 20일What 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
슬라이드 3장5:50EN
Matthew Berman· 2024년 7월 27일A 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
슬라이드 6장11:20EN
Matthew Berman· 2024년 7월 1일Matthew 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
슬라이드 5장12:55EN
Matthew Berman· 2024년 6월 23일Testing Mixture-of-Agents on Coding, Arithmetic and ReasoningMatthew Berman · Forward FutureMatthew Berman tries a multi-model setup on his informal LLM rubric and finds strong individual answers alongside coding and counting failures.Multi-agent systems모델과 학습평가(Evals)+1
슬라이드 5장19:46EN
Matthew Berman· 2024년 4월 15일Building a CrewAI Financial-Analysis Team on Lightning AIMatthew Berman · Forward FutureMatthew Berman demonstrates a 2024 two-agent workflow, first using Groq and then connecting a cloud-hosted Ollama model.에이전트 엔지니어링Multi-agent systems개발 워크플로와 테스트+1
슬라이드 6장9:02EN
Matthew Berman· 2024년 4월 1일Matthew 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.평가(Evals)Multi-agent systemsExperimentation+1
슬라이드 3장5:31EN
Matthew Berman· 2023년 10월 30일Connecting MemGPT to AutoGen AgentsMatthew Berman · Forward FutureIn a 2023 tutorial, Matthew Berman configures a MemGPT-backed coding agent alongside an AutoGen product manager and runs a short group chat.Agent memoryMulti-agent systems코딩 에이전트
슬라이드 4장7:02EN
Matthew Berman· 2023년 10월 18일Connecting 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.에이전트 엔지니어링Open-weight modelsMulti-agent systems+2
슬라이드 5장15:03EN
Matthew Berman· 2023년 10월 10일A 2023 AutoGen Tutorial: Local Agent Setup and Code ExecutionMatthew Berman · Forward FutureMatthew Berman builds a local assistant and user-proxy workflow, then tests how the agents generate and run Python. AutoGen’s packages and APIs have changed since this tutorial.Multi-agent systems에이전트 엔지니어링코딩 에이전트+2
0:59EN
Matthew Berman· 2023년 5월 26일Generative 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
슬라이드 4장11:38EN
Matthew Berman· 2023년 4월 11일How 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