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
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.