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12 件
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スライド 10 枚1:42:41EN
Matthew Berman· 2026年5月1日Testing AI Reasoning, App Store Lookalikes and the Debate Over AnthropicMatthew Berman · Forward FutureIn a May 2026 livestream, Matthew Berman tests a car-wash prompt, discusses AI subscription limits and considers reported employee monitoring for model training.AI agentsBenchmarksPrompting & in-context learning+2
スライド0:32EN
Matthew Berman· 2026年2月1日A Prompt for Reducing Familiar AI Writing PatternsMatthew Berman · Forward FutureMatthew Berman discusses a writing checklist and a prompt intended to reduce repetitive AI prose.Prompting & in-context learningCommunicationGenerative media
スライド 8 枚23:41EN
Matthew Berman· 2025年8月19日GPT-5 Prompting: Agent Behavior, Coding and Prompt OptimizationMatthew Berman · Forward FutureMatthew Berman walks through OpenAI’s 2025 prompting guide and demonstrates a tool for revising developer instructions.Prompting & in-context learningAgent orchestration開発ワークフローとテスト+1
スライド 2 枚15:41EN
Matthew Berman· 2024年7月15日How Claude Artifacts Worked: A Look at a Reported System PromptMatthew Berman · Forward FutureMatthew Berman examines a purported Claude 3.5 Sonnet prompt and tests artifacts for code, graphics, websites and diagrams.AnthropicPrompting & in-context learningAI interface design
スライド 5 枚16:25EN
Matthew Berman· 2024年5月8日Visualization-of-Thought and an Open-Source Windows AssistantMatthew Berman · Forward FutureMatthew Berman explains a spatial-reasoning prompting experiment and examines desktop automation demos from the separate PyWinAssistant project.Prompting & in-context learningAI researchBenchmarks+2
スライド 2 枚3:00EN
Matthew Berman· 2024年3月27日Claude 3’s Acrostic Messages and a Test of Writing ConstraintsMatthew Berman · Forward FutureMatthew Berman tries a prompt that spells messages with sentence initials and compares one simple constraint with GPT-4.AnthropicPrompting & in-context learningFoundation Models
スライド 7 枚9:21EN
Matthew Berman· 2023年10月9日DALL·E 3 in Bing and ChatGPT: A 2023 WalkthroughMatthew Berman · Forward FutureMatthew Berman tries DALL·E 3 in two interfaces and compares logo lettering and image styles with Leonardo.ai, documenting both promising results and service delays.Generative mediaMultimodal AIPrompting & in-context learning+1
スライド 5 枚9:46EN
Matthew Berman· 2023年6月19日Installing Text Generation WebUI on Windows: A 2023 Local-Model WalkthroughMatthew Berman · Forward FutureMatthew Berman installs an early version of Text Generation WebUI, resolves setup errors and explains model downloads and interface settings. The steps and packages are historical; consult the project’s current documentation for a modern installation.Local inferenceOpen-weight modelsインフラとデプロイ+1
スライド 3 枚3:58EN
Matthew Berman· 2023年3月7日Creating Imagined Childhood Portraits with MidjourneyMatthew Berman · Forward FutureMatthew Berman demonstrates a 2023 Discord workflow for prompting age-transformed portraits and tests a personal reference image.Generative mediaPrompting & in-context learningCreativity
スライド 3 枚4:57EN
Matthew Berman· 2023年3月2日How Microsoft Research Used ChatGPT to Guide Robots and DronesMatthew Berman · Forward FutureA 2023 research demonstration combines natural-language instructions, robot APIs and human review to generate code for physical and simulated tasks.RoboticsHuman-AI Collaborationエージェント+1
12:17EN
Matthew Berman· 2023年2月27日A 2023 Guide to Prompting ChatGPT: Instructions, Examples, and LimitationsMatthew Berman · Forward FutureMatthew Berman walks through prompt components, common tasks, examples, and adversarial prompting in an early ChatGPT tutorial.Prompting & in-context learningPrompt injectionDeveloper productivity
スライド 4 枚8:19EN
Matthew Berman· 2023年2月15日Leonardo.Ai in 2023: Generating Images, Remixing Models and Editing a CanvasMatthew Berman · Forward FutureMatthew Berman walks through Leonardo.Ai’s early image-generation interface, from style models and settings to community remixes, custom training and the beta canvas. Features and pricing have changed since this February 2023 demonstration.Generative mediaPrompting & in-context learningプロダクトと UX+1