Andrej Karpathy Deep Dive into LLMs like ChatGPT is on under-the hood fundamentals of LLMs How I use LLMs is a more practical guide to examples of use in my own life Intro to Large Language Models is a third, parallel, more optional video from a longer time ago Technical track: Follow the Zero to Hero playlist
karpathy llm. c: LLM training in simple, raw C CUDA - GitHub llm java by @harryjackson: a Java port of this project; Metal llm metal by @regrettable-username: LLM training in simple, raw C Metal Shading Language; Mojo llm 🔥 by @dorjeduck: a Mojo port of this project; OpenCL llm c by @krrishnarraj: an OpenCL port of this project; Rust llm rs by @Yijun Yu: a Rust rewrite with the aim to have same
Andrej Karpathy - LLMs Introduction Course - YouTube This course serves as an introductory exploration into various topics such as neural networks, perceptrons, backpropagation, tokenization, and the architectu
Andrej Karpathy Keynote at YC AI Startup School - Circleback Karpathy compared LLMs to utilities where labs spend capex to train models (like building electrical grids) and opex to serve intelligence via APIs with metered access LLMs also resemble semiconductor fabs due to massive capex requirements and centralized R D secrets, though software's malleability makes them less defensible
This is How Andrej Karpathy Uses LLMs - Analytics Vidhya In his latest video, “How I use LLMs: Andrej Karpathy,” the renowned AI expert pulls back the curtain on the evolving world of LLM Serving as a follow-up to his earlier video “Deep Diving into LLMs” from the General Audience Playlist on his YouTube channel, this presentation explores how the initial textual chat interface hosted by OpenAI sparked a revolution in AI interaction
Deep dive into LLMs like ChatGPT by Andrej Karpathy (TL;DR) GPT-2, released by OpenAI in 2019, was an early example of a transformer-based LLM Here’s what it looked like: 1 6 billion parameters; 1024-token context length; Trained on ~100 billion tokens; The original GPT-2 training cost was $40,000 Since then, efficiency has improved dramatically Andrej Karpathy managed to reproduce GPT-2 using llm
Andrej Karpathy’s deep dive into LLMs video - codingscape. com LLM video outline by topic 00:00:00 introduction The video introduces the topic of LLMs and sets the stage for a detailed exploration The speaker explains the importance of understanding the training stages and internal mechanics The discussion establishes expectations for a deep dive into LLM architecture and training processes