Episode 253: AI with Katerina Skroumpelou
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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).