Host(s):
Guest:
Recording date: Sep 14, 2023
Brought to you by* AG Grid * Narwhal
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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.