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250 件
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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 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
1:54:01EN
Cognitive Revolution "How AI Changes Everything"· 2024年6月26日ポッドキャストA Tiny Network Grew a Salt Crystal the Training Data Never Showedホスト Nathan LabenzTim Duignan trained tens of thousands of parameters on salt water. The model invented a crystal — and a continuum solvent theory he had spent a PhD failing to write by hand.モデルと学習AI for science機械学習の基礎+3
スライド 3 枚16:06EN
Matthew Berman· 2024年6月18日AI News: Video Generation, Apple Intelligence, Robotics and DeepSeek Coder V2Matthew Berman · Forward FutureMatthew Berman reviews a week of launches and research, from Luma and Runway to NVIDIA, robotics and coding models.Generative mediaRoboticsOpen-weight models+1
スライド 6 枚17:03EN
Matthew Berman· 2024年6月8日Qwen2 0.5B and 72B: A Hands-On ComparisonMatthew Berman · Forward FutureMatthew Berman tests coding, arithmetic and reasoning prompts on the smallest and largest Qwen2 models in a 2024 demonstration.Open-weight modelsBenchmarksLocal inference+2
スライド 3 枚14:25EN
Matthew Berman· 2024年6月2日Testing Phi-3 Vision, LLaVA-Llama 3 and GPT-4o on ImagesMatthew Berman · Forward FutureMatthew Berman compares three 2024 vision setups on image descriptions, screenshots, a meme and table extraction, with mixed results.画像と動画Multimodal AIOpen-weight models+2
スライド 4 枚9:53EN
Matthew Berman· 2024年5月28日Testing Microsoft Phi-3 Medium Locally: Mixed Coding and Reasoning ResultsMatthew Berman · Forward FutureMatthew Berman runs a quantized Phi-3 Medium on a MacBook and explores coding, arithmetic and reasoning prompts.Open-weight modelsLocal inferenceBenchmarks+1
スライド 2 枚12:50EN
Matthew Berman· 2024年5月22日Testing Smaug: Hosted 70B Versus a Smaller Local ModelMatthew Berman · Forward FutureMatthew Berman compares two Smaug configurations on Snake, math and reasoning puzzles.Open-weight models評価(Evals)モデルと学習
スライド 7 枚25:07EN
Matthew Berman· 2024年5月14日Google I/O 2024: Gemini, Project Astra and AI Across Google’s ProductsSundar Pichai, Josh Woodward, Demis Hassabis · GoogleA guided look at Google’s 2024 demonstrations, from multimodal assistants and generative media to Workspace, Android and developer models.GeminiMultimodal AIAI agents+2
51:00EN
20VC with Harry Stebbings· 2024年4月29日ポッドキャスト · 2 人Arthur Mensch on Mistral’s Open Models, Compute and Developer Strategyゲスト Arthur Mensch · ホスト Harry StebbingsThe Mistral AI co-founder explains the company’s mix of open and commercial models, its compute constraints and its bet on efficient developer tools.Foundation ModelsOpen-weight modelsAI cost & performance+2
スライド 7 枚21:47EN
Matthew Berman· 2024年4月24日Phi-3 Mini: Microsoft’s Small Model, Phone Deployment and an Uncertain Local TestMatthew Berman · Forward FutureMatthew Berman reviews Microsoft’s 2024 technical report and runs informal prompts, with an unresolved model label in the demonstration.Local inferenceモデルと学習Benchmarks+1
スライド 5 枚12:51EN
Matthew Berman· 2024年4月21日Llama 3 70B on Groq: Fast Inference and an Informal Prompt TestMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and repeated prompts on Groq’s April 2024 Llama 3 service, with mixed results and several scoring caveats.Open-weight modelsInference評価(Evals)+2
1:42:17EN
Cognitive Revolution "How AI Changes Everything"· 2024年4月20日ポッドキャストThe Cheapest Inference Provider Is the Most Dangerousホスト Nathan LabenzFireworks AI cofounders Lin Qiao and Dmytro Ivchenko explain why subsidized GPU bills vanish, how LoRA serving can cut cost a hundredfold, and why OpenAI is the rival that actually matters.インフラとデプロイInferenceAI cost & performance+3
スライド 3 枚15:01EN
Matthew Berman· 2024年4月19日Testing Llama 3 at Launch: Code, Reasoning and Image GenerationMatthew Berman · Forward FutureMatthew Berman tries Meta AI’s new interface on a snake game, logic puzzles and rapid image generation.Open-weight models評価(Evals)モデルと学習+1
スライド 5 枚15:35EN
Matthew Berman· 2024年4月18日Meta Llama 3 Launch: Benchmarks, a Snake Test and the Meta AI AssistantMatthew Berman · Forward FutureMatthew Berman reviews the April 2024 release, tries a generated game and considers what downloadable models mean for developers.Open-weight modelsモデルと学習Benchmarks+2
スライド0:55EN
Matthew Berman· 2024年4月18日Meta Llama 3: A Quick Coding and Image DemonstrationMatthew Berman · Forward FutureMatthew Berman reviews the initial 8B and 70B Llama 3 release and tries a Python Snake game and an image prompt.Foundation ModelsOpen-weight modelsSoftware engineering+1
スライド 7 枚12:02EN
Matthew Berman· 2024年4月13日Testing Karasu Mixtral 8x22B on Coding and Reasoning TasksMatthew Berman · Forward FutureMatthew Berman tries an early community fine-tune of Mistral's large mixture-of-experts model on a Snake game, arithmetic and logic puzzles.Open-weight modelsモデルと学習評価(Evals)+1
スライド 3 枚14:23EN
Matthew Berman· 2024年3月31日Testing DBRX: Coding Strengths and Reasoning GapsMatthew Berman · Forward FutureMatthew Berman examines Databricks’ open-weight model and puts it through coding, arithmetic and reasoning prompts.Open-weight modelsモデルと学習評価(Evals)+1
スライド 4 枚14:11EN
Matthew Berman· 2024年3月23日LM Studio in 2024: Local Models, Parallel Inference and a Local APIMatthew Berman · Forward FutureMatthew Berman demonstrates model downloads, hardware settings, JSON output and serving multiple local models.Open-weight modelsInference
0:54EN
Matthew Berman· 2024年3月18日xAI Releases Grok-1 Weights and ArchitectureMatthew Berman · Forward FutureMatthew Berman discusses the 2024 release of Grok-1's mixture-of-experts base model and its Apache 2.0 license.Open-weight modelsFoundation ModelsAI Strategy
スライド 3 枚8:26EN
Matthew Berman· 2024年3月18日Testing Grok on X After the 2024 Grok-1 Weight ReleaseMatthew Berman · Forward FutureMatthew Berman tries coding and reasoning prompts in the hosted Grok interface, with mixed results.Open-weight modelsBenchmarksモデルと学習+1
スライド 2 枚4:49EN
Matthew Berman· 2024年3月17日xAI Releases Grok-1 Base Weights Under Apache 2.0Matthew Berman · Forward FutureMatthew Berman discusses the March 2024 release of a 314-billion-parameter mixture-of-experts model and the context of Elon Musk’s dispute with OpenAI.Foundation ModelsOpen-weight modelsモデルと学習+1
52:06EN
Matthew Berman· 2024年3月16日Yann LeCun on World Models, Open AI and the Path to Advanced IntelligenceMatthew Berman, Yann Lecun, Lex Fridman · Forward FutureMatthew Berman reacts to excerpts from LeCun’s 2024 conversation with Lex Fridman, covering language models, JEPA, robotics, AI safety and economic incentives.World modelsAI researchOpen-weight models+2
2:47:17EN
Lex Fridman· 2024年3月7日ポッドキャスト · 2 人If You Want Human-Level AI, Abandon Generative Modelsゲスト Yann Lecun · ホスト Lex FridmanYann LeCun tells Lex Fridman why autoregressive LLMs cannot plan, remember, or understand the physical world — and why open source is the only democratic answer.モデルと学習World modelsAGI(汎用人工知能)+3
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