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5 diapositives9:33EN
Matthew Berman· 30 juin 2023Testing SDXL 0.9: Image Quality, Clipdrop and a Midjourney ComparisonMatthew Berman · Forward FutureIn June 2023, Matthew Berman tries Stability AI’s image model, compares selected prompts with Midjourney and demonstrates Clipdrop’s lighting tool.Generative mediaVision et vidéoOpen-weight models+1
4 diapositives7:21EN
Matthew Berman· 26 juin 2023Testing Orca Mini 13B, an Unofficial Model Inspired by OrcaMatthew Berman · Forward FutureMatthew Berman loads a quantized Orca Mini 13B and tries coding, reasoning, arithmetic, and summarization prompts. His 2023 informal test produces several failures and a few successes.Open-weight modelsÉvaluationsDistillation+2
3 diapositives8:17EN
Matthew Berman· 22 juin 2023Using OpenLLM to Serve Open Models Through an APIMatthew Berman · Forward FutureMatthew Berman demonstrates a local model server, its interactive API and a Python client in a 2023 walkthrough.Open-weight modelsInferenceInfrastructure et déploiement+1
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Cognitive Revolution "How AI Changes Everything"· 25 mai 2023PodcastA Wafer-Scale Chip So AI Stops Waiting on AmdahlAnime : Nathan LabenzAndrew Feldman, CEO of Cerebras, tells Nathan Labenz why one 2.5-trillion-transistor die, sparse linear algebra, and a 16-machine supercomputer are a better shape than a GPU cluster.Infrastructure et déploiementInferenceAI cost & performance+3
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No Priors: AI, Machine Learning, Tech, & Startups· 2 févr. 2023Podcast · 2 voixForty games of Diplomacy, and nobody spotted the bot: Noam Brown’s 100,000x lessonAnime : Sarah Guo, Elad GilMeta’s Noam Brown tells Sarah Guo and Elad Gil how Cicero negotiated in English for 40 games on a tiny web community — and why thinking at decision time beat three years of scaling.AgentsAI researchReasoning & test-time compute+3
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Lex Fridman· 9 févr. 2020PodcastMoore’s Law Is Not Dead—It Is a Cascade of S-CurvesAnime : Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.Infrastructure et déploiementSemiconductorsScaling Laws+3
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No Priors: AI, Machine Learning, Tech, & StartupsPodcast · 2 voixChips, Agents and a Reckoning: Sarah Guo and Elad Gil on the 2023 AI BoomAnime : Sarah Guo, Elad GilThe hosts answer listener questions on the GPU crunch, how soon enterprises will ship AI products, how to build agents, and what 2024 holds for tech valuations.Entreprise et stratégieInfrastructure et déploiementAI cost & performance+3
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Lex FridmanPodcastData Movement, Not Math: How to Make Deep Learning Fit on Robots and PhonesAnime : Lex FridmanMIT professor Vivienne Sze explains why moving data dominates the energy cost of neural networks and how co-designing hardware and algorithms can cut it by orders of magnitude.Infrastructure et déploiementInferenceAI cost & performance+3
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Cognitive Revolution "How AI Changes Everything"PodcastGemini 2.0 Flash Goes to Production: Pricing, Model Lineup and What Developers Should Build NextAnime : Nathan LabenzGoogle DeepMind's Logan Kilpatrick walks through launch-day Gemini 2.0 releases, rate limits, model naming, and where he sees startup opportunities.Modèles et entraînementBenchmarksAI cost & performance+3
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No Priors: AI, Machine Learning, Tech, & StartupsPodcast · 2 voixWhy Rivian Threw Out Its First Self-Driving Stack and Built Its Own BrainAnime : Sarah Guo, Elad GilRivian founder RJ Scaringe explains the neural-net reset, in-house chips, software-defined architecture and the mass-market R2 bet.Entreprise et stratégieAutonomous DrivingInference+3