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5 diapositives10:36EN
MBMatthew Berman· 13 oct. 2026Meta Muse Wonder Tested: Strong Benchmarks, Mixed Demos and Quota FrictionMatthew Berman · Forward FutureMatthew Berman tests Meta’s models on browser demos and reviews their published benchmark scores, availability and cost.Modèles et entraînementBenchmarksAI cost & performance+1
Diapositives0:24EN
MBMatthew Berman· 7 juil. 2026Claude Fable 5 Access Extended Through July 12, 2026Matthew Berman · Forward FutureMatthew Berman reports a short extension for paid Claude subscribers, without a reset of their existing usage quota.Modèles et entraînement
3 diapositives10:28EN
MBMatthew Berman· 5 août 2025OpenAI’s gpt-oss Models: Open Weights, Benchmarks and SafetyMatthew Berman · Forward FutureMatthew Berman reviews the 120b and 20b models, local deployment claims, selected evaluations and the scope of OpenAI’s safety testing.Modèles et entraînementAI researchÉvaluations+1
Diapositives3:13EN
MBMatthew Berman· 5 août 2025Claude Opus 4.1: Anthropic’s August 2025 Benchmark UpdateMatthew Berman · Forward FutureMatthew Berman reviews the model’s reported coding, reasoning and tool-use results, including one benchmark that declined.Modèles et entraînementÉvaluationsAgents de code
4 diapositives12:14EN
MBMatthew Berman· 16 juil. 2025AI News: Windsurf’s Acquisition, Meta Compute Plans, Grok and VoxtralMatthew Berman · Forward FutureA July 2025 roundup examines developer-tool deals, AI infrastructure, model behavior, reward methods and speech recognition.AI researchModèles et entraînementAgents+1
1:50EN
MBMatthew Berman· 30 janv. 2025Five AI Trends Discussed by Coveo’s Sébastien PaquetMatthew Berman · Forward FutureMatthew Berman summarizes a 2025 interview on production systems, smaller models, agents and trust.IA en entrepriseAgentsModèles et entraînement+1
0:35EN
MBMatthew Berman· 6 nov. 2024An 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.Modèles et entraînementAI research
2 diapositives9:15EN
MBMatthew Berman· 25 sept. 2024Llama 3.2 Adds Vision and Smaller On-Device ModelsMatthew Berman · Forward FutureIn a Meta-partnered 2024 video, Matthew Berman reviews the model family, its tooling and a brief hosted 1B demonstration.Open-weight modelsMultimodal AILocal inference+1
Diapositives0:54EN
MBMatthew Berman· 16 sept. 2024OpenAI’s o1 Preview: A First Look at Longer ReasoningMatthew Berman · Forward FutureMatthew Berman introduces the o1-preview and o1-mini models and tries a Python game prompt.Modèles et entraînementInference
2 diapositives9:43EN
MBMatthew Berman· 26 août 2024Matthew Berman Tests Jamba 1.5 on Coding and Reasoning PromptsMatthew Berman · Forward FutureA 2024 hands-on test of AI21’s hybrid model finds slow output in one hosted session and mixed answers to a small set of prompts.Modèles et entraînementÉvaluations
3 diapositives13:40EN
MBMatthew Berman· 29 juil. 2024Testing Llama 3.1 8B: Benchmark Gains and Mixed Practical ResultsMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and other prompts on the small model and finds several failures despite stronger reported benchmarks.Open-weight modelsÉvaluationsModèles et entraînement+1
0:58EN
MBMatthew Berman· 11 juil. 2024NVIDIA NIM: Containerized AI Inference MicroservicesMatthew Berman · Forward FutureA sponsored overview of NVIDIA’s approach to packaging model inference for local and cloud applications.Infrastructure et déploiementModèles et entraînement
5 diapositives13:18EN
MBMatthew Berman· 20 juin 2024Testing 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 inferenceInferenceModèles et entraînement+2
2 diapositives12:50EN
MBMatthew Berman· 22 mai 2024Testing Smaug: Hosted 70B Versus a Smaller Local ModelMatthew Berman · Forward FutureMatthew Berman compares two Smaug configurations on Snake, math and reasoning puzzles.Open-weight modelsÉvaluationsModèles et entraînement
3 diapositives13:37EN
MBMatthew Berman· 16 mai 2024Testing Gemini 1.5 Pro’s Long Context and Video UnderstandingMatthew Berman · Forward FutureMatthew Berman’s 2024 tests show useful image and video summaries alongside blocked code and missed details.Multimodal AIBenchmarksVision et vidéo+1
3 diapositives14:23EN
MBMatthew Berman· 31 mars 2024Testing 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 modelsModèles et entraînementÉvaluations+1
2 diapositives6:28EN
MBMatthew Berman· 29 août 2023A Historical GPT-3.5 Fine-Tuning WalkthroughMatthew Berman · Forward FutureMatthew Berman demonstrates generating synthetic examples in Colab and training a model to use a distinctive tone.Fine-tuningSynthetic dataModèles et entraînement
3 diapositives12:20EN
MBMatthew Berman· 10 juil. 2023Testing UltraLM 13B: A Small Model’s Strengths and Reasoning ErrorsMatthew Berman · Forward FutureA 2023 local test finds useful writing and simple coding alongside failures in games, arithmetic and logic.Open-weight modelsÉvaluationsModèles et entraînement+1
Diapositives5:24EN
MBMatthew Berman· 12 mai 2023Google I/O 2023: Bard, PaLM 2 and AI Across Google's ProductsMatthew Berman · Forward FutureMatthew Berman reviews Google's 2023 AI announcements and weighs its focus on improving established products.AI StrategyProduit et UXModèles et entraînement+1
9:59EN
Lex FridmanPodcastIs Language or Vision Harder? Ilya Sutskever on the Unity of Machine LearningAnime : Lex FridmanIn a short clip from his 2020 conversation with Lex Fridman, Ilya Sutskever explains why vision, language and reinforcement learning share the same few principles, and why asking which problem is harder is the wrong question.Modèles et entraînementFondamentaux du MLDeep Learning+3
13:58EN
Lex FridmanPodcastDeep Reinforcement Learning, Explained by the Researcher Behind AlphaGoAnime : Lex FridmanDavid Silver of DeepMind walks through what reinforcement learning is, how its building blocks fit together, and why deep neural networks keep surprising even the experts.Modèles et entraînementReinforcement LearningFondamentaux du ML+3
10:39EN
Lex FridmanPodcastStatistics as Decision-Making: Michael I. Jordan on Bayesians, Frequentists and the Ideas Between ThemAnime : Lex FridmanBerkeley's Michael I. Jordan explains where statistics came from, why it is really about decisions, and how empirical Bayes and false discovery rate bridge two rival philosophies.Modèles et entraînementFondamentaux du MLDecision Making+2
11:29EN
Lex FridmanPodcastWhy Tesla AI Day Was the Most Impressive Real-World AI Effort Lex Fridman Has SeenAnime : Lex FridmanLex Fridman walks through the neural network, data annotation, Dojo and Tesla Bot announcements and what they say about solving real-world robotics.Modèles et entraînementAutonomous DrivingRobotics+3