絞り込み結果
128 件並び順
1:01:26EN
Cognitive Revolution "How AI Changes Everything"· 2023年7月25日ポッドキャストAlexNet Used Two GPUs. GPT-4 Took Twenty Thousand. The Shortage Will Be Back.ホスト Nathan LabenzRun:ai CTO Ronen Dar on filling idle accelerators, why H100s can be cheaper per experiment, and why Llama 2 undercuts compute governance.
5:53EN
Matthew Berman· 2023年7月18日Petals: Distributing Large Language Model Inference Across DevicesMatthew Berman · Forward FutureIn 2023, Matthew Berman explains Petals as a way to use large models through a network of participating computers rather than loading every layer on one device.
9:33ENMatthew Berman· 2023年6月30日Testing 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.
7:21ENMatthew Berman· 2023年6月26日Testing 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.
8:17ENMatthew Berman· 2023年6月22日Using 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.
1:20:49ENCognitive Revolution "How AI Changes Everything"· 2023年5月25日ポッドキャストA Wafer-Scale Chip So AI Stops Waiting on Amdahlホスト 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.
1:00:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年2月2日ポッドキャスト · 2 人Forty games of Diplomacy, and nobody spotted the bot: Noam Brown’s 100,000x lessonホスト 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.
26:02EN
Lex Fridman· 2020年2月9日ポッドキャストMoore’s Law Is Not Dead—It Is a Cascade of S-Curvesホスト Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.
23:57ENNo Priors: AI, Machine Learning, Tech, & Startupsポッドキャスト · 2 人Chips, Agents and a Reckoning: Sarah Guo and Elad Gil on the 2023 AI Boomホスト 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.
1:18:48ENLex FridmanポッドキャストData Movement, Not Math: How to Make Deep Learning Fit on Robots and Phonesホスト 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.
57:21ENCognitive Revolution "How AI Changes Everything"ポッドキャストGemini 2.0 Flash Goes to Production: Pricing, Model Lineup and What Developers Should Build Nextホスト Nathan LabenzGoogle DeepMind's Logan Kilpatrick walks through launch-day Gemini 2.0 releases, rate limits, model naming, and where he sees startup opportunities.
31:46ENNo Priors: AI, Machine Learning, Tech, & Startupsポッドキャスト · 2 人Why Rivian Threw Out Its First Self-Driving Stack and Built Its Own Brainホスト Sarah Guo, Elad GilRivian founder RJ Scaringe explains the neural-net reset, in-house chips, software-defined architecture and the mass-market R2 bet.