Episodes (Page 11)
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Code Interpreter launched with ability to execute Python code, upload files, and handle edge cases with dependencies like Tesseract and TensorFlow
Alex Graveley
Alex Volkov
Aravind Srinivas
Simon Willison
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Data Dan Whitenack from Practical AI discusses 5-year podcast journey covering post-Transformers AI wave and learning from past episodes
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Ronen Eldan and Yuanzhi Li of Microsoft Research discuss tiny model revolution, showing how small models can match larger ones through clever training
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George Hotz discusses tinybox, a $15,000 'luxury AI computer' for local model training/inference with 738 FP16 TFLOPS and 144GB GPU RAM
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OpenAI released Functions API enabling structured JSON outputs and agent-like behavior with 75% embedding price drop and 4x context length
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Jeffrey Wang and Joe Reeve propose RLHB (Reinforcement Learning from Human Behavior) as alternative to RLHF, using implicit behavioral signals instead of explicit feedback
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Linus Lee from Notion AI discusses building AI × UX scenius and designing AI interfaces, emphasizing most knowledge work is not text generation
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Itamar Friedman from Codium AI discusses test generation IDE extension for Python/JS and vision of Code Integrity Agent for debugging software
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MosaicML's MPT-7B achieved SOTA in open-source with 84,000 token context length (vs GPT-3's 4,000), trained on 1 trillion tokens matching LLaMA-7B quality
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Shreya Rajpal of Guardrails AI addresses LLM output unpredictability and inability to follow requirements without extensive prompt engineering
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Sharif Shameem breaks podcast hiatus for exclusive interview on building Lexica (5B searches/day in 8 months, launched 24 hours after Stable Diffusion)
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Google's internal memo by Luke Sernau reveals panic over losing AI leadership to open source alternatives after Code Red declaration
Simon Willison
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Reza Shabani from Replit discusses open sourcing replit-code-v1-3b, beating OpenAI's Codex despite being 77% smaller when finetuned
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Mike Conover from Databricks discusses race for fully open source GPT-3/4-equivalent models addressing LLaMA's research-only license limitations
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Deedy Das from Glean discusses AI-powered enterprise search solving knowledge worker problem with Series C $1B valuation from Sequoia
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Joseph Nelson from Roboflow discusses Segment Anything Model and computer vision's role in 2023 multimodal AI wave
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New format inspired by Acquired.fm without guests focusing on benchmarks as subtle but critical ingredient in LLM development
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Shreya Shankar from UC Berkeley discusses MLOps/LLMOps principles after viral tweetstorm and career from Stanford through Google Brain to current role
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OpenAI announced ChatGPT Plugins representing app store moment as significant as iPhone App Store 2008 or Facebook Open Graph 2010
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Sarah Nagy from Seek.ai addresses Text to SQL as killer B2B use case for generative AI, democratizing data insights without SQL knowledge