Here is a recording of the webinar we ran about LLMs. It was basically a non-technical, in-depth explanation of what a ChatGPT is, how it’s trained, and why it works.
Here’s a link to the 35-minute video What is an LLM?
WEBINAR HIGHLIGHTS
In the webinar we went over:
Definition of LLM: An LLM, or large language model, is basically really smart auto-complete.
Capabilities: How can LLMs do stuff like role-playing, answering questions, doing math, and even reasoning?
Training Process: How are LLMs trained?
- Pre-Training Phase: Where model absorbs the entire internet (basically).
- Post-Training Phase: Where the model learns how to act human.
- Reinforcement Learning: Where the model learns from feedback.
Emergent Behaviors: How can LLMs develop new, unexpected ways of answering questions that weren’t directly taught during training?
Token Usage: What are tokens?
Hallucinations: Why do LLMs sometimes answer incorrectly? How can we prevent that?