AI Resources

I often get asked how to stay up to date with AI. Here are some of my sources.

Newsletters

I find email newsletters still to be a fantastic source of information. Easily skimmable. I usually learn 1-2 new things from each of these.

• AI News: http://news.smol.ai/
• Latent Space: https://www.latent.space/
• Every: https://every.to/newsletter
• Pragmatic Engineer: https://www.pragmaticengineer.com/
• PulseMCP: https://www.pulsemcp.com/
• Data Science Programming News - Run by Eric J Ma

Blogs/Websites (I use Feedly)

• Simon Willison: https://simonwillison.net/
• Hackernews: https://news.ycombinator.com/
• Karpathy has a blog: https://karpathy.bearblog.dev/
• Ben Thompson: https://stratechery.com/
• Jay Alammar: https://jalammar.github.io/

YouTube

Note, I don’t always watch a YouTube video in full. It’s easy to transcribe videos now ever since Whisper came out. I transcribe some YouTube channels here, see the project called transcripts. I’ll also use yt-dlp to download videos and transcribe them with MacWhisper.

• @AndrejKarpathy
• @ai-explained-
• @LangChain
• @allin
• @Bg2Pod
• @jamesbriggs
• @lexfridman - and associated transcripts

Podcasts

• Latent Space
• Dwarkesh Podcast

Twitter

• karpathy
• chipro
• jeremyphoward
• radekosmulski
• omarsar0

Github

I follow a bunch of accounts/repos and find the Github feed useful, which I subscribe via RSS:

• Astral: https://github.com/astral-sh
• LangChain: https://github.com/langchain-ai
• https://github.com/BerriAI/litellm
• https://github.com/All-Hands-AI/OpenHands

Resources

• Large Language Modles Explained - Timothy Lee (journalist) spends a couple months writing up this explainer of LLMs
• What are Embeddings - Vicki Boykis deep dive into embeddings starting from fundamentals, PDF here
• LLM Bootcamp - from Full Stack Deep Learning, 2 day bootcamp on LLMs run during Spring 2023
• Dive into Deep Learning - Comprehensive guide to deep learning
• Fast.ai
• Google’s Deep learning tuning playbook
• Course Notes from Andrew Ng’s Deep Learning Specialization
• Jay Alammar’s personal site - Visualizing machine learning one concept at a time
• Practical Deep Learning for Coders
  • Part 2 - released 2023-04 tweet
  • Part 1 - “v5” - released 2022-07-21
• What is Prompt Engineering - like how Googling became a skill (aka “Google-fu”), I think Prompt Engineering is an important skill to develop
• awesome-chatgpt-prompts - A curated list of awesome ChatGPT prompts. I like “Act as a Linux Terminal” prompt.
• Prompt Engineering Guide - “Motivated by the high interest in developing with LLMs, we have created this new prompt engineering guide that contains all the latest papers, learning guides, lectures, references, and tools related to prompt engineering.” Code: repo