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

**[Towards Data Science](https://daily.dev/sources/tds)** · 17 min read · 0 upvotes · 0 comments

## Summary

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.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/temperature-scaling-and-beam-search-text-generation-in-llms-for-the-ml-adjacent-21212cc5dddb>

---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#llm](https://daily.dev/tags/llm), [#text-generation](https://daily.dev/tags/text-generation)

[View this post on daily.dev](https://daily.dev/posts/temperature-scaling-and-beam-search-text-generation-in-llms-for-the-ml-adjacent-t9rvvknmh)

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