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Library/ NLP & Transformers/ Module 5 · Project 3: Customer Chat Summariser (fine-tuning T5 for text generation)/ 5.4 How text is generated

subtopic

Decoding: greedy, beam search, sampling

10 min applied30 min research2 curated resources

Learn how the decoder writes one token at a time, each time picking from a probability list. Greedy = always the top token (can repeat itself); beam search = keeps the best few sentences (good for summaries); sampling with temperature / top-k / top-p = more creative (good for chat, risky for facts). Try each on 3 chats and compare.

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Decoding: greedy, beam search, sampling · 1x1labs.ai