Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0
En podkast av Alessio + swyx
Kategorier:
91 Episoder
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No Moat: Closed AI gets its Open Source wakeup call — ft. Simon Willison
Publisert: 5.5.2023 -
Training a SOTA Code LLM in 1 week and Quantifying the Vibes — with Reza Shabani of Replit
Publisert: 3.5.2023 -
Mapping the future of *truly* Open Models and Training Dolly for $30 — with Mike Conover of Databricks
Publisert: 29.4.2023 -
AI-powered Search for the Enterprise — with Deedy Das of Glean
Publisert: 22.4.2023 -
Segment Anything Model and the Hard Problems of Computer Vision — with Joseph Nelson of Roboflow
Publisert: 13.4.2023 -
AI Fundamentals: Benchmarks 101
Publisert: 7.4.2023 -
Grounded Research: From Google Brain to MLOps to LLMOps — with Shreya Shankar of UC Berkeley
Publisert: 29.3.2023 -
Emergency Pod: ChatGPT's App Store Moment (w/ OpenAI's Logan Kilpatrick, LindyAI's Florent Crivello and Nader Dabit)
Publisert: 24.3.2023 -
From Astrophysics to AI: Building the future AI Data Stack — with Sarah Nagy of Seek.ai
Publisert: 10.3.2023 -
97% Cheaper, Faster, Better, Correct AI — with Varun Mohan of Codeium
Publisert: 2.3.2023 -
ChatGPT, GPT4 hype, and Building LLM-native products — with Logan Kilpatrick of OpenAI
Publisert: 23.2.2023
The podcast by and for AI Engineers! In 2023, over 1 million visitors came to Latent Space to hear about news, papers and interviews in Software 3.0. We cover Foundation Models changing every domain in Code Generation, Multimodality, AI Agents, GPU Infra and more, directly from the founders, builders, and thinkers involved in pushing the cutting edge. Striving to give you both the definitive take on the Current Thing down to the first introduction to the tech you'll be using in the next 3 months! We break news and exclusive interviews from OpenAI, tiny (George Hotz), Databricks/MosaicML (Jon Frankle), Modular (Chris Lattner), Answer.ai (Jeremy Howard), et al. Full show notes always on https://latent.space www.latent.space