Masterbots: Elevating AI Beyond ChatGPT with Social Sharing and User-Friendly Innovation
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 7/26/23 [Summary] FlashAttention 2: making Transformers 800% faster - Tri Dao of Together AI
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 6/8/23 [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 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 7/10/23 [Summary] - Code Interpreter == GPT 4.5 (w/ Simon Willison, Alex Volkov, Aravind Srinivas, Alex Graveley, et al.)
Latent Space Podcast 6/20/23 [Summary] - Commoditizing the Petaflop — with George Hotz of the tiny corp
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 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
Latent Space Podcast 8/16/23 [Summary] - The Mathematics of Training LLMs — with Quentin Anthony of Eleuther AI
Latent Space Podcast 7/26/23 [Summary] FlashAttention 2: making Transformers 800% faster - Tri Dao of Together 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 8/10/23 [Summary]: LLMs Everywhere: Running 70B models in browsers and iPhones using MLC — with Tianqi Chen of CMU / OctoML
Latent Space Podcast 6/20/23 [Summary] - Commoditizing the Petaflop — with George Hotz of the tiny corp
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 5/25/23 [Summary] - Debugging the Internet with AI agents – with Itamar Friedman of Codium AI and AutoGPT
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 8/4/23 [Summary] Latent Space x AI Breakdown crossover pod!
Latent Space Podcast 7/26/23 [Summary] FlashAttention 2: making Transformers 800% faster - Tri Dao of Together AI
Latent Space Podcast 7/2/23 [Summary] AI Trends: a Latent Space x Practical AI crossover pod!
Latent Space Podcast 5/5/23 [Summary] - No Moat: Closed AI gets its Open Source wakeup call — ft. Simon Willison
Latent Space Podcast 8/4/23 [Summary] Latent Space x AI Breakdown crossover pod!
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 4/28/23 [Summary] - Mapping the future of *truly* Open Models and Training Dolly for $30 — with Mike Conover of Databricks
Latent Space Podcast 7/26/23 [Summary] FlashAttention 2: making Transformers 800% faster - Tri Dao of Together AI
The Transformer Blueprint: A Holistic Guide to the Transformer Neural Network Architecture [Summary]
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 5/8/23 [Summary] - The AI Founder Gene: Being Early, Building Fast, and Believing in Greatness — with Sharif Shameem of Lexica
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 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)
McKinsey: The economic potential of generative AI [Summary]
Empowering the Future: Unfolding the Power of Large Language Models Across Industries
Large Language Models: Crafting Personalized Digital Experiences
Tomorrow's Titans: The Future of Large Language Models and Their Influence on the Job Market and AGI
Securing the Castle: Exploring LLMs and the Frontier of Data Privacy
Copy That? LLMs, Copyright, and the Plagiarism Predicament
Empowering the Future: Unfolding the Power of Large Language Models Across Industries
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
Navigating the Moral Maze: Unraveling the Ethics of Large Language Models
Mastering the Art of LLMs: A Practical Guide to Implementing Large Language Models
Mastering AI: A Comprehensive Introduction to Large Language Models (LLMs)
Large Language Models: Crafting Personalized Digital Experiences
Tomorrow's Titans: The Future of Large Language Models and Their Influence on the Job Market and AGI
Securing the Castle: Exploring LLMs and the Frontier of Data Privacy
Copy That? LLMs, Copyright, and the Plagiarism Predicament
Navigating the Moral Maze: Unraveling the Ethics of Large Language Models
Navigating the Moral Maze: Unraveling the Ethics of Large Language Models