Latent Space Podcast 8/16/23 [Summary] - The Mathematics of Training LLMs — with Quentin Anthony of Eleuther AI

Latent Space Podcast 8/10/23 [Summary]: LLMs Everywhere: Running 70B models in browsers and iPhones using MLC — with Tianqi Chen of CMU / OctoML

Latent Space Podcast 8/4/23 [Summary] Latent Space x AI Breakdown crossover pod!

Latent Space Podcast 7/10/23 [Summary] - Code Interpreter == GPT 4.5 (w/ Simon Willison, Alex Volkov, Aravind Srinivas, Alex Graveley, et al.)

Latent Space Podcast 7/2/23 [Summary] AI Trends: a Latent Space x Practical AI crossover pod!

Latent Space Podcast 6/20/23 [Summary] - Commoditizing the Petaflop — with George Hotz of the tiny corp

Latent Space Podcast 6/14/23 [Summary] - Emergency Pod: OpenAI's new Functions API, 75% Price Drop, 4x Context Length (w/ Alex Volkov, Simon Willison, Riley Goodside, Joshua Lochner, Stefania Druga, Eric Elliott, Mayo Oshin et al)

Latent Space Podcast 6/8/23 [Summary] - From RLHF to RLHB: The Case for Learning from Human Behavior - with Jeffrey Wang and Joe Reeve of Amplitude

Latent Space Podcast 6/1/23 [Summary] - Building the AI × UX Scenius — with Linus Lee of Notion AI

Latent Space Podcast 5/25/23 [Summary] - Debugging the Internet with AI agents – with Itamar Friedman of Codium AI and AutoGPT

Latent Space Podcast 5/5/23 [Summary] - No Moat: Closed AI gets its Open Source wakeup call — ft. Simon Willison

Latent Space Podcast 5/3/23 [Summary] - Training a SOTA Code LLM in 1 week and Quantifying the Vibes — with Reza Shabani of Replit

Latent Space Podcast 4/28/23 [Summary] - Mapping the future of *truly* Open Models and Training Dolly for $30 — with Mike Conover of Databricks

Latent Space Podcast 4/21/23 [Summary] - AI-powered Search for the Enterprise — with Deedy Das of Glean

Latent Space Podcast 4/13/23 [Summary] - Segment Anything Model and the Hard Problems of Computer Vision — with Joseph Nelson of Roboflow

Latent Space Podcast 4/6/23 [Summary] - AI Fundamentals: Benchmarks 101

Latent Space Podcast 4/6/23 [Summary] - Grounded Research: From Google Brain to MLOps to LLMOps — with Shreya Shankar of UC Berkeley

Latent Space Podcast 3/23/23 [Summary] - Emergency Pod: ChatGPT's App Store Moment (w/ OpenAI's Logan Kilpatrick, LindyAI's Florent Crivello and Nader Dabit)

Latent Space Podcast 3/2/23 [Summary] - 97% Cheaper, Faster, Better, Correct AI — with Varun Mohan of Codeium Latent Space Podcast Ep. 2: Why you are holding your GPUs wrong

Latent Space Podcast 2/23 [Summary] - ChatGPT, GPT4 hype, and Building LLM-native products — with Logan Kilpatrick of OpenAI

Large language models, explained with a minimum of math and jargon [Summary]

The Transformer Blueprint: A Holistic Guide to the Transformer Neural Network Architecture [Summary]

McKinsey: The economic potential of generative AI [Summary]

Google "We Have No Moat, And Neither Does OpenAI" [Commentary]

State of GPT - Andrej Karpathy [Summary]

Latent Space Podcast 8/16/23 [Summary] - The Mathematics of Training LLMs — with Quentin Anthony of Eleuther AI

Latent Space Podcast 8/10/23 [Summary]: LLMs Everywhere: Running 70B models in browsers and iPhones using MLC — with Tianqi Chen of CMU / OctoML

Latent Space Podcast 8/4/23 [Summary] Latent Space x AI Breakdown crossover pod!

Latent Space Podcast 6/20/23 [Summary] - Commoditizing the Petaflop — with George Hotz of the tiny corp

Latent Space Podcast 6/14/23 [Summary] - Emergency Pod: OpenAI's new Functions API, 75% Price Drop, 4x Context Length (w/ Alex Volkov, Simon Willison, Riley Goodside, Joshua Lochner, Stefania Druga, Eric Elliott, Mayo Oshin et al)

Latent Space Podcast 6/8/23 [Summary] - From RLHF to RLHB: The Case for Learning from Human Behavior - with Jeffrey Wang and Joe Reeve of Amplitude

Latent Space Podcast 6/1/23 [Summary] - Building the AI × UX Scenius — with Linus Lee of Notion AI

Latent Space Podcast 5/25/23 [Summary] - Debugging the Internet with AI agents – with Itamar Friedman of Codium AI and AutoGPT

Latent Space Podcast 5/20/23 [Summary] - MPT-7B and The Beginning of Context=Infinity — with Jonathan Frankle and Abhinav Venigalla of MosaicML

Latent Space Podcast 5/15/23 [Summary] - Guaranteed quality and structure in LLM outputs - with Shreya Rajpal of Guardrails AI

Latent Space Podcast 5/8/23 [Summary] - The AI Founder Gene: Being Early, Building Fast, and Believing in Greatness — with Sharif Shameem of Lexica

Latent Space Podcast 5/5/23 [Summary] - No Moat: Closed AI gets its Open Source wakeup call — ft. Simon Willison

Latent Space Podcast 5/3/23 [Summary] - Training a SOTA Code LLM in 1 week and Quantifying the Vibes — with Reza Shabani of Replit

Latent Space Podcast 4/28/23 [Summary] - Mapping the future of *truly* Open Models and Training Dolly for $30 — with Mike Conover of Databricks

Latent Space Podcast 4/21/23 [Summary] - AI-powered Search for the Enterprise — with Deedy Das of Glean

Latent Space Podcast 4/6/23 [Summary] - AI Fundamentals: Benchmarks 101

Latent Space Podcast 3/23/23 [Summary] - Emergency Pod: ChatGPT's App Store Moment (w/ OpenAI's Logan Kilpatrick, LindyAI's Florent Crivello and Nader Dabit)

Latent Space Podcast 3/2/23 [Summary] - 97% Cheaper, Faster, Better, Correct AI — with Varun Mohan of Codeium Latent Space Podcast Ep. 2: Why you are holding your GPUs wrong

Latent Space Podcast 2/23 [Summary] - ChatGPT, GPT4 hype, and Building LLM-native products — with Logan Kilpatrick of OpenAI

Large language models, explained with a minimum of math and jargon [Summary]

McKinsey: The economic potential of generative AI [Summary]

Google "We Have No Moat, And Neither Does OpenAI" [Commentary]

State of GPT - Andrej Karpathy [Summary]

Decoding the Mysteries of AI: A Deep Dive into Large Language Models' Knowledge and Limitations

Mastering the Art of Training Large Language Models: A Comprehensive Guide

Decoding LLMs: Your Ultimate Guide to Understanding Large Language Models

Mastering the Art of LLMs: A Practical Guide to Implementing Large Language Models