LLM Output Processing

LLM output processing refers to the techniques and methods used to refine, filter, and enhance the output generated by large language models, ensuring the responses are accurate, relevant, and usable. As startups increasingly integrate LLMs into their products and services, effective output processing becomes crucial for delivering high-quality user experiences and maintaining the reliability of AI-driven applications.