Tackling JSON Perplexity in LLM Outputs: A Weekend Project

This weekend, I dove deep into a problem we often encounter in natural language processing (NLP): ensuring the accuracy and reliability of JSON outputs from large language models (LLMs), particularly when dealing with key/value pairs.

The Challenge

We frequently face the issue of not having direct methods to measure perplexity or log probabilities on function calls from LLMs. This makes it tough to trust the reliability of the JSON generated by these models, especially when it's critical to ensure that …

accuracy challenge dove face issue json key language language models language processing large language large language models llm llms natural natural language natural language processing nlp perplexity processing project reliability value