Wolfram Language and LLMs: Ideal Complements

Course Overview

This Daily Study Group offers an introduction to the intersection of large language models (LLMs) and Wolfram Language. The study group focuses on the various LLM-enabled functions in Wolfram Language and starts with a discussion about basic back-and-forth chats with LLMs in the notebook environment. The next lessons show how to incorporate LLMs into different workflows and write your own functions that call upon LLMs for input, oftentimes saving a fair amount of time and effort. The series ends with discussions of how to take advantage of Wolfram Language's computational nature to make LLMs—which are fundamentally stochastic and prone to hallucination—much more robust and reliable, then gives examples of how to combine all of these ideas in order to make single functions that can call multiple agents and tools simultaneously.