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919 件
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スライド1:03EN
Matthew Berman· 2024年11月29日AnythingLLM’s Community Hub and Local AI Agents on NVIDIA RTXMatthew Berman · Forward FutureIn a sponsored short, Matthew Berman introduces local agent workflows, shared prompts and integrations, with important limits on privacy and performance claims.Local inferenceAI agentsAgent skills+1
0:40EN
Matthew Berman· 2024年11月25日How Might AI and Robots Change Jobs and Prices?Matthew Berman · Forward FutureMatthew Berman imagines automated production and asks what cheaper goods could mean for the job market.RoboticsFuture of Work
スライド 4 枚12:16EN
Matthew Berman· 2024年11月22日AI News in November 2024: Figure Robots, FLUX Tools and Quantum Error DetectionMatthew Berman · Forward FutureMatthew Berman surveys a week of announcements, from image-editing controls and long-context models to conversational agents and quantum computing.Generative mediaRobotics
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 7 枚14:50EN
Matthew Berman· 2024年11月19日AI News in November 2024: Mistral, Gemini, Nuclear Safety and Medical AIMatthew Berman · Forward FutureMatthew Berman surveys Le Chat updates, model rankings, nuclear safeguards and a diagnostic reasoning study.AI StrategyBenchmarksAI Safety+2
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Matthew Berman· 2024年11月18日A Withdrawn AI Research Study and Questions About Scientific DiscoveryMatthew Berman · Forward FutureA 2024 video cites an MIT-affiliated preprint that arXiv later withdrew; MIT says its findings should not be relied on.AI for scienceAI researchFuture of Work
スライド 5 枚10:57EN
Matthew Berman· 2024年11月16日Tracing a CrewAI Agent Workflow with LangtraceMatthew Berman · Forward FutureMatthew Berman builds a research-and-reporting crew, adds Langtrace, and inspects traces, token usage, timing and model costs.エージェント工学評価とオブザーバビリティAI cost & performance+1
スライド 4 枚14:05EN
Matthew Berman· 2024年11月15日Test-Time Training Improves ARC Puzzle Results in an MIT StudyMatthew Berman · Forward FutureMatthew Berman explains a 2024 paper that adapts a language model to each puzzle at inference time and combines its predictions with program synthesis.AI researchReasoning & test-time computeBenchmarks+1
スライド 2 枚11:10EN
Matthew Berman· 2024年11月13日AI and Scientific Discovery: A 2024 Video’s Withdrawn StudyMatthew Berman · Forward FutureMatthew Berman discusses AI-assisted research and recursive improvement; the central preprint was later withdrawn over serious data-validity concerns.AI for scienceAI researchAGI(汎用人工知能)
スライド 7 枚1:42:56EN
Matthew Berman· 2024年11月12日Building a Research and Writing Flow with CrewAIMatthew Berman, João Moura · Forward FutureMatthew Berman and CrewAI founder João Moura build and debug a two-crew workflow for planning and drafting educational articles.Agent orchestrationエージェント工学Multi-agent systems+2
スライド 4 枚1:00EN
Matthew Berman· 2024年11月7日Connect Obsidian to a Local AI Model with LM StudioMatthew Berman · Forward FutureMatthew Berman outlines a way to connect an Obsidian note-taking plugin to a model running on your own computer.Local inferenceProductivityHuman-AI Collaboration
0:35EN
Matthew Berman· 2024年11月6日An IBM Visit: Granite Models, InstructLab and Quantum ComputingMatthew Berman · Forward FutureMatthew Berman previews a longer discussion of IBM’s small AI models, model customization and quantum research.モデルと学習AI research
0:28EN
Matthew Berman· 2024年11月6日Comparing Three Local Coding ModelsMatthew Berman · Forward FutureMatthew Berman introduces a sponsored comparison of DeepSeek Coder V2, Yi-Coder and Qwen Coder running on a workstation.Local inferenceコーディングエージェントOpen-weight models
スライド 3 枚11:56EN
Matthew Berman· 2024年11月3日IBM Granite 3.0 and InstructLab: Small Models for Enterprise AIMatthew Berman · Forward FutureMatthew Berman reviews IBM's 2024 model family and its approach to adding domain knowledge. IBM partnered on the video and invited him to its event.モデルと学習エンタープライズ AIファインチューニング+2
スライド 4 枚12:50EN
Matthew Berman· 2024年11月2日Comparing Three Local Coding Models on Games and Programming ChallengesMatthew Berman · Forward FutureMatthew Berman runs DeepSeek-Coder-V2 Lite, Yi-Coder 9B, and Qwen2.5-Coder 7B on a sponsored workstation. Their results vary by task and include manual corrections.Open-weight models評価(Evals)Software engineering+2
スライド 5 枚11:29EN
Matthew Berman· 2024年11月1日ChatGPT Search vs. Perplexity: A 2024 First LookMatthew Berman · Forward FutureMatthew Berman tests the newly launched search feature on podcast links, mistaken identities, restaurant maps, Factorio and stock questions.OpenAISearch & retrievalプロダクトと UX+1
スライド 5 枚11:50EN
Matthew Berman· 2024年10月31日OpenAI DevDay London: o1 Coding and Realtime Voice DemosMatthew Berman · Forward FutureMatthew Berman reviews a drone-control coding demo, a voice-powered travel assistant and an interactive solar-system lesson from October 2024. The voice examples used the Realtime API, which at launch was powered by GPT-4o rather than o1.OpenAI音声 AIComputer use+2
スライド1:00EN
Matthew Berman· 2024年10月31日AI Growth and the Pressure on Electricity InfrastructureMatthew Berman · Forward FutureMatthew Berman considers how the power demands of AI and data centers could affect grids, emissions and competition for resources.Energyインフラとデプロイ
スライド 9 枚19:03EN
Matthew Berman· 2024年10月30日AI News in October 2024: Apple Intelligence, Coding Assistants, Search, and AgentsMatthew Berman · Forward FutureMatthew Berman reviews the first Apple Intelligence release, new coding tools, AI search disputes, local models, and reports of browser agents.AI agentsAI Adoptionコーディングエージェント+2
スライド 6 枚10:39EN
Matthew Berman· 2024年10月29日Zamba2-7B: A Hybrid Mamba–Transformer Model Tested on Coding and ReasoningMatthew Berman · Forward FutureMatthew Berman compares Zyphra’s efficiency claims with his own informal tests, including Python games, spatial puzzles and simple word tasks.モデルと学習Open-weight modelsBenchmarks+2
スライド 3 枚24:40EN
Matthew Berman· 2024年10月26日Miles Brundage on Leaving OpenAI and Preparing for AGIMatthew Berman · Forward FutureMatthew Berman reviews the departing policy researcher’s argument for independent governance work, public readiness and a more equitable distribution of AI’s benefits.AI RegulationAGI(汎用人工知能)安全性とガバナンス+2
スライド 6 枚12:29EN
Matthew Berman· 2024年10月25日Testing the Updated Claude 3.5 Sonnet: Coding, Reasoning and VisionMatthew Berman · Forward FutureMatthew Berman tries the October 2024 model on Python games, logic puzzles and images, with mixed results and some ambiguous grading.Benchmarksコーディングエージェント評価(Evals)+1
スライド 10 枚15:20EN
Matthew Berman· 2024年10月24日AI News: Copilot Agents, Claude Computer Use and New Generative MediaMatthew Berman · Forward FutureMatthew Berman surveys a crowded week of AI announcements in October 2024, from enterprise agents and open models to image, video and voice tools.AI agentsComputer useOpen-weight models+2
スライド 6 枚18:28EN
Matthew Berman· 2024年10月23日Claude 3.5 Sonnet’s 2024 Computer-Use Beta: Demos and LimitsMatthew Berman · Forward FutureMatthew Berman reviews Anthropic’s updated models and shows how a beta agent navigated software with screenshots and tool actions.Computer useAI agentsBenchmarks+2
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