Understanding LLM Settings: Temperature, Top-P, Stop Sequences & More |

In this tutorial, we break down the key settings of Large Language Models (LLMs) to help you fine-tune their responses for better control and accuracy. You'll learn about:
🔹 Temperature - Controlling randomness in responses
🔹 Top-P (Nucleus Sampling) - Adjusting probability distribution for diversity
🔹 Stop Sequences - Defining when the model should stop generating text
🔹 Frequency & Presence Penalty - Managing repetition and topic adherence
🔹 Max Tokens & Other Parameters - Optimizing response length and efficiency
Whether you're a beginner or an advanced user, this video will help you master LLM settings for improved results in AI-generated text.
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[@keshavkhandelwal9058]

amazing🎉

[@CareersConnector]

Let’s gooo 🎉❤ amazing content and very useful