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5 Folien9:33EN
Matthew Berman· 30. Juni 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 & VideoOpen-weight models+1
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Matthew Berman· 26. Juni 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 modelsEvalsDistillation+2
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Matthew Berman· 22. Juni 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 modelsInferenceInfrastruktur & Deployment+1
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Cognitive Revolution "How AI Changes Everything"· 25. Mai 2023PodcastA Wafer-Scale Chip So AI Stops Waiting on AmdahlModeration: 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.Infrastruktur & DeploymentInferenceAI cost & performance+3
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No Priors: AI, Machine Learning, Tech, & Startups· 2. Feb. 2023Podcast · 2 StimmenForty games of Diplomacy, and nobody spotted the bot: Noam Brown’s 100,000x lessonModeration: 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.AgentenAI researchReasoning & test-time compute+3
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Lex Fridman· 9. Feb. 2020PodcastMoore’s Law Is Not Dead—It Is a Cascade of S-CurvesModeration: Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.Infrastruktur & DeploymentSemiconductorsScaling Laws+3
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No Priors: AI, Machine Learning, Tech, & StartupsPodcast · 2 StimmenChips, Agents and a Reckoning: Sarah Guo and Elad Gil on the 2023 AI BoomModeration: 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.Unternehmen & StrategieInfrastruktur & DeploymentAI cost & performance+3
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Lex FridmanPodcastData Movement, Not Math: How to Make Deep Learning Fit on Robots and PhonesModeration: 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.Infrastruktur & DeploymentInferenceAI 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 NextModeration: Nathan LabenzGoogle DeepMind's Logan Kilpatrick walks through launch-day Gemini 2.0 releases, rate limits, model naming, and where he sees startup opportunities.Modelle & TrainingBenchmarksAI cost & performance+3
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No Priors: AI, Machine Learning, Tech, & StartupsPodcast · 2 StimmenWhy Rivian Threw Out Its First Self-Driving Stack and Built Its Own BrainModeration: Sarah Guo, Elad GilRivian founder RJ Scaringe explains the neural-net reset, in-house chips, software-defined architecture and the mass-market R2 bet.Unternehmen & StrategieAutonomous DrivingInference+3