The organizers of the AI Community Conference – AICO Boston event did an incredible job. The conference was first-rate and I really enjoyed engaging with attendees and speakers, while learning from everyone.
I delivered a new iteration of my talk on how it is possible to have Human Language as the new UI, thanks to LLMs and Embedding models. There was an engaged and inquisitive group! The resources I used during the presentation, including my deck, are all included below.
Connect with Bill or other related resources:
Links from the talk:
- Assorted Cranking AI resources ➞ https://github.com/crankingai
- The funwithvectors.com app used in the talk ➞ https://funwithvectors.com and OSS repo
- The repo with code for the “next-token” project that I used to show how tokens have probabilities and how they are selected (and can be influenced by Temperature and Top-P which is also known as nucleus sampling) ➞ https://github.com/crankingai/next-token
- The OpenAI Tokenizer shown in the talk ➞ https://platform.openai.com/tokenizer/
The deck from the talk:
- The deck from the talk ➞
Coding Out Loud 