One of the major use cases of LLM is using it for summarization. In this new article, you will learn more about LLM summarization, and the different approaches you can attempt which can either be extractive, abstractive, or both (hybrid). You will also learn how to perform summarization evals classification with LLM evals using three OpenAI models. You can read more here: https://arize.com/blog/llm-summarization-getting-to-production/ For more details, see the LLM Evals documentation.