If you’ve spent any time with APIs for LLMs like those from OpenAI or Anthropic, you’ll have seen the temperature setting available in the API. How is this parameter used, and how does it work…

Towards Data Science is a community-powered publication that showcases work in data science, machine learning and artificial intelligence. Every day newcomers, seasoned researchers and industry practitioners publish tutorials, research notes and real-world case studies that help the field move forward.

Towards Data Science

Learn about temperature scaling and beam search in LLMs for text generation. Understand how temperature affects the predictability and entropy of LLM output sequences. See examples of greedy search and beam search, and the impact of temperature on their results.

Temperature Scaling and Beam Search Text Generation in LLMs, for the ML-Adjacent

Greedy Search and Beam Search Generation Examples