Personal Recommendations

Intro

I've curated this list to share with those asking for my personal recommendations on what to follow regarding LLM, RAG, genAI etc.

Jason Liu (@jxnlco (opens in a new tab))

He is the maintainer of the instructor library (opens in a new tab). I use this every day because we definitely need structured outputs coming out from LLMs.

He has successfully built a consulting business for LLM/RAG apps, and he is sharing all of his process for free.

Some blog posts that has changed my process:

Also, he is writing content super quickly, with speech to text, + claude.ai. He is talking about that somewhere in this live Q&A (opens in a new tab).

Answer.ai (+ Jeremy Howard @jeremyphoward (opens in a new tab))

I read blog posts from answer.ai from time to time. Jeremy Howard, part of answer.ai, is also someone to follow on X.

Hamel Husain @HamelHusain (opens in a new tab)

He has built a Twitter audience just by saying Look at your data to people who are using LLMs.

Eugene Yan (@eugeneyan (opens in a new tab))

Mentioned as a thoughtful writer who approaches topics from a scientific perspective. https://eugeneyan.com/writing/llm-patterns/ (opens in a new tab)

I need to read more about Eugene. I have read two of his articles by luck or randomly, so I'll just follow him in more detail.

  • I like the style and choices for his excalidraw diagrams
  • I like exhaustive articles

Lilian Weng (@lilianweng (opens in a new tab))

Not familiar with her writing, it's on the top of my list, so sharing it too.

Need to read:

Pieter Levels (@levelsio (opens in a new tab))

Not an AI/LLM expert, but he has built photoai.com (opens in a new tab) which is doing one of the best consumer text->img apps, replacing physical photography. He is shipping fast, out in the open. Always good to know what models / approaches he is using.

For example, he has built a NSFW filter for images using gpt-4-vision, or another one to detect bad hands. He always has good tricks because it's his only way to ship.