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919 件
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スライド 4 枚15:50EN
Matthew Berman· 2024年7月23日Llama 3.1: Meta’s 405B Model and the Open-Weight EcosystemMatthew Berman · Forward FutureMatthew Berman reviews Meta’s July 2024 release, the smaller models, reported benchmarks, synthetic data and the proposed Llama Stack.Open-weight modelsモデルと学習Benchmarks+2
スライド 3 枚13:19EN
Matthew Berman· 2024年7月20日Testing GPT-4o Mini Against GPT-4o at LaunchMatthew Berman · Forward FutureMatthew Berman compares OpenAI's 2024 small model on coding, reasoning and image prompts, with a sponsored HP and Intel laptop segment.OpenAIFoundation Models評価(Evals)+1
スライド 6 枚15:16EN
Matthew Berman· 2024年7月19日AI News in July 2024: Small Models, Robot Hands and a Self-Charging DroneMatthew Berman · Forward FutureMatthew Berman reviews model announcements, creative demonstrations, AI education and training-data concerns in a snapshot of one week in 2024.AI researchRoboticsOpen-weight models+2
スライド 3 枚7:43EN
Matthew Berman· 2024年7月17日How to Run STORM for AI-Assisted ResearchMatthew Berman · Forward FutureMatthew Berman demonstrates Stanford’s research tool, from its 2024 local setup to a cited article about dogs. The interface runs locally, while his demonstration relies on external AI and search APIs.AI agentsAI researchOpen Source+1
0:58EN
Matthew Berman· 2024年7月17日ASUS Vivobook S 15: A Copilot+ PC with an NPUMatthew Berman · Forward FutureMatthew Berman introduces the laptop and its local AI features in a sponsored short.プロダクトと UXインフラとデプロイ
スライド 3 枚14:15EN
Matthew Berman· 2024年7月16日OpenAI’s Reported Strawberry Project and a Five-Level AGI FrameworkMatthew Berman · Forward FutureMatthew Berman examines 2024 reporting on a reasoning project, long-horizon tasks and a proposed scale for AI capabilities.Reasoning & test-time computeAI researchOpenAI+2
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 6 枚8:52EN
Matthew Berman· 2024年7月14日Yi-Large Tested: Coding, Arithmetic and Logic PuzzlesMatthew Berman · Forward FutureMatthew Berman puts 01.AI's hosted model through a small set of coding and reasoning prompts, with mixed results and some questionable grading.評価(Evals)Foundation ModelsBenchmarks+2
スライド 6 枚11:30EN
Matthew Berman· 2024年7月11日Testing Google Gemma 2 27B: Coding, Reasoning and FormattingMatthew Berman · Forward FutureMatthew Berman runs an informal 2024 test of Google’s open-weight model on cloud hardware supplied by sponsor Vultr.Open-weight modelsBenchmarksReasoning & test-time compute+1
0:58EN
Matthew Berman· 2024年7月11日NVIDIA NIM: Containerized AI Inference MicroservicesMatthew Berman · Forward FutureA sponsored overview of NVIDIA’s approach to packaging model inference for local and cloud applications.インフラとデプロイモデルと学習
スライド 6 枚18:57EN
Matthew Berman· 2024年7月9日AI News in July 2024: Small Models, Voice Tools and OpenAI SecurityMatthew Berman, Andrej Karpathy · Forward FutureMatthew Berman reviews AI product announcements, model evaluation and security reporting, and shares his predictions about the future of computing.AI researchモデルと学習AI security+2
スライド 4 枚8:53EN
Matthew Berman· 2024年7月8日RouteLLM: Routing Queries Between Strong and Cheaper ModelsMatthew Berman · Forward FutureMatthew Berman explains a 2024 research framework that uses preference data to choose a model for each query.Model routing & gatewaysAI cost & performance評価(Evals)+2
スライド0:38EN
Matthew Berman· 2024年7月5日Turning Simple Landscape Sketches into Images with NVIDIA CanvasMatthew Berman · Forward FutureMatthew Berman demonstrates NVIDIA Canvas, which uses GauGAN technology to turn material-labeled brushstrokes into landscape images.Generative mediaComputer VisionLocal inference
スライド 6 枚14:30EN
Matthew Berman· 2024年7月3日Retrieval-Augmented Generation: External Knowledge, Embeddings and SearchMatthew Berman · Forward FutureMatthew Berman introduces RAG using customer-service, company-document and automotive-manual examples, then explains vector retrieval and agents.検索拡張生成(RAG)EmbeddingsSearch & retrieval+1
スライド 5 枚13:30EN
Matthew Berman· 2024年7月2日AI News in July 2024: Smart Glasses, Robot Skin and Model RoutingMatthew Berman, Mark Zuckerberg · Forward FutureMatthew Berman surveys early plans for AI glasses, robotics demonstrations, generative video and RouteLLM's model-routing results.RoboticsAI agentsモデルと学習+2
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 3 枚9:06EN
Matthew Berman· 2024年6月28日Testing Nemotron-4 340B: Synthetic Data and a Handful of Reasoning TasksMatthew Berman · Matthew BermanMatthew Berman reviews NVIDIA’s 2024 model family for synthetic data and tries a small set of coding, arithmetic and logic prompts.Synthetic dataモデルと学習Benchmarks+1
0:58EN
Matthew Berman· 2024年6月27日NVIDIA Tools for Game Streaming and Video EffectsMatthew Berman · Forward FutureIn a sponsored 2024 short, Matthew Berman describes hardware video encoding and NVIDIA Broadcast features for streamers.Creator EconomyGenerative mediaインフラとデプロイ
スライド 4 枚9:15EN
Matthew Berman· 2024年6月26日OpenWorm, Neural Connectomes and the Simulation HypothesisMatthew Berman · Forward FutureMatthew Berman explores an open-source C. elegans modeling project and asks philosophical questions about simulating life, consciousness and reality.Simulation HypothesisNeuroscienceComputational Biology+1
スライド 6 枚10:57EN
Matthew Berman· 2024年6月24日Testing Claude 3.5 Sonnet: Coding, Reasoning, and VisionMatthew Berman · Forward FutureMatthew Berman puts Anthropic’s June 2024 model through informal coding, math, puzzle, and image-understanding prompts.評価(Evals)コーディングエージェントMultimodal AI+2
スライド 5 枚12:55EN
Matthew Berman· 2024年6月23日Testing 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 systemsモデルと学習評価(Evals)+1
スライド 4 枚16:11EN
Matthew Berman· 2024年6月22日AI News in June 2024: SSI, Tree Search, Meta, Claude and ARC PrizeMatthew Berman · Forward FutureMatthew Berman reviews new AI research, product launches and a competition, with context on historical benchmarks and uncertain claims.AI researchモデルと学習AI Safety+2
スライド 4 枚16:49EN
Matthew Berman· 2024年6月21日How Apple's On-Device and Private Cloud Models WorkMatthew Berman · Forward FutureMatthew Berman examines Apple's 2024 foundation-model overview, from training data and quantization to task adapters and human evaluations.Local inferenceモデルと学習Privacy & data governance+1
スライド 5 枚13:18EN
Matthew Berman· 2024年6月20日Testing Local AI on a Dual RTX 6000 WorkstationMatthew Berman · Forward FutureMatthew Berman tests language models, concurrent inference, and image generation on a Dell Precision tower supplied by Dell and NVIDIA.Local inferenceInferenceモデルと学習+2
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