Episode 185 of Thinking Elixir. Dive into the world of structured LLM prompting with our latest guest who shares insights on their innovative project, InstructorEx. We’ll explore how this tool is pushing the boundaries of large language models to return structured data, particularly JSON, and the benefits it offers when integrated into existing systems. The conversation takes a deep dive into the challenges and solutions of forcing LLMs to output data in desirable formats using Elixir technology, like Ecto schemas, and what it means to treat an LLM like a digital human, even applying it to tasks like spam detection in emails. Discover the intriguing concept of using a local database as a cache for LLM results. If you’re curious about the intersection of structured data, Python experience transition to Elixir, and the future of LLM integration, this is an episode not to miss. Tune in for these engaging topics and more!
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