March 2024
Intermediate to advanced
175 pages
2h 54m
English
In Chapter 4, you learned about making your LLM-powered application safer and more controllable. In particular, you focused on using NeMo to build guardrails around ensuring your LLM stays on topic, executes the right flow, and is able to block users. You looked into NeMo and understood how it combines LLMs, Colang, and embedding models to create a generalized set of rules, based on natural language rules you give it.
The last few chapters all involve using a foundational model as the “brain” of your application, ...
Read now
Unlock full access