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@rz_langsa: Membalas @suryani8235 INFO PENTING‼️ini bhn xuping, tidak ada surat, tidak bisa tkr tmbh✅#gelang #promomakanharian #promo #fyp #viral @Bergek

RZ LANGSA
RZ LANGSA
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Sunday 08 November 2026 09:52:13 GMT
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There are 8 LLM parameters worth knowing if you want more control over how a model generates text. 🧠 Sampling parameters: 🔹 Temperature: Controls how random or predictable token selection is. 🔹 Top-P: Selects from the smallest set of tokens whose cumulative probability reaches a specified threshold. 🔹 Min-P: Filters out tokens whose probability is too low relative to the most likely token. 🔹 Top-K: Limits token selection to the K most likely candidates. Repetition parameters: 🔹 Frequency Penalty: Penalizes tokens based on how often they have already appeared. 🔹 Presence Penalty: Penalizes tokens that have appeared before, regardless of frequency. Length parameters: 🔹 Max Output Tokens: Sets the maximum number of tokens the model can generate. 🔹 Stop Sequences: Tells the model to stop generating when a specified sequence appears. The big picture: These parameters let you control randomness, repetition, and response length — helping you tailor LLM outputs to different tasks. #LLMs #GenerativeAI #PromptEngineering #AI #MachineLearning
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