Web Rush

Episode 253: AI with Katerina Skroumpelou

Episode Summary

Katerina Skroumpelou join us to talk about her work on implementing AI and chatGPT inside documentation, how well it has worked, and some of the things to consider when using AI for docs.

Episode Notes

Host(s):

• John Papa @John_Papa
• Ward Bell @WardBell
• Dan Wahlin @DanWahlin
• Craig Shoemaker @craigshoemaker

Guest:

• Katerina Skroumpelou @psybercity

Recording date: Sep 14, 2023

Brought to you by

• AG Grid

  

• Narwhal

  Visit nx.dev to get the preeminent open-source toolkit for monorepo development, today.

  

Resources:

• Soul Train the Musical
• ChatGPT
• Nx Docs
• Link to Nx AI Assistant (Disclaimer: I did NOT build the UI (I am useless in UI stuff).)
• NxConf event
• Grounding LLMs
• Hallucination (artificial intelligence)
• AI & Vectors
• PostgreSQL
• What is RAG?
• Supabase
• Based on/inspired by: (we'll have our own blog post explaining our AI docs once they're out)
• Mastering temperature and Top P in Open AI
• SkyNet
• Text Blaze
• "The numeric representation of knowledge and logic—Two artificial intelligence applications in medical education" W. D. Hagamen 1986
• Ward's citation: "Medical applications of data-driven APL programs" 1975 (Note that the abstract had to explain what "data-driven" means even to a highly technical audience. That's where we were in those days.)

Timejumps

• 00:28 Welcome
• 03:54 Introducing Katerina
• 04:45 How did you get into AI?
• 05:45 Why AI assistant is important for documentation?
• 09:46 Sponsor: Ag Grid
• 10:51 How do you feel it's been going?
• 16:32 What approach did you end up using to train AI?
• 18:36 What are embeddings?
• 20:32 Sponsor: Narwhal
• 21:06 Acknowledging our AI knowledge
• 24:25 How AI answers a question
• 28:31 How did you decide how often to call the API?
• 32:41 What is Rag?
• 36:49 Final thoughts

Podcast editing on this episode done by Chris Enns of Lemon Productions.