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.
Host(s):
- John Papa @John_Papa
- Ward Bell @WardBell
- Dan Wahlin @DanWahlin
- Craig Shoemaker @craigshoemaker
Guest:
- Katerina Skroumpelou @psybercity
Recording date: Sep 14, 2023
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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.
