Exploring InstructorEx for Large Language Models in Elixir

This episode of the Thinking Elixir Podcast features a discussion on InstructorEx, a novel tool that challenges the current capabilities of large language models (LLMs) by enforcing them to produce structured output, particularly in JSON format. The tool leverages the power of Elixir, demonstrating how it can be used to integrate structured LLM prompting into existing systems. Guests on the show share insights into the development of InstructorEx, discussing its innovative use of Elixir technology, such as Ecto schemas, and examining its potential applications, including spam detection in emails. The episode takes listeners through a journey that not only covers the technical side of InstructorEx but also touches upon the transfer of Python skills to Elixir, the use of local databases as a caching mechanism for LLM results, and the broader implications of integrating LLMs into the future of programming and data processing.