Generative AI Day 6 | LLM Parameters Explained Simply

Colab file - https://colab.research.google.com/drive/1qcXE92HBhcsMgZttaB9eHmwD3nx9As3o?usp=sharing
Welcome to Day 6 of Generative AI & Agentic AI Full Course 🚀

In this video, you will learn how to control the behavior and output of Large Language Models (LLMs) using:
👉 System Prompts
👉 Temperature
👉 Top-P (Nucleus Sampling)

These concepts are essential for building AI applications, chatbots, and agentic systems with better accuracy and creativity.

🔹 Topics Covered:

✅ What is a System Prompt
✅ System Prompt vs User Prompt
✅ How to guide LLM behavior
✅ What is Temperature in LLM
✅ Low vs High Temperature (Deterministic vs Creative)
✅ What is Top-P (Nucleus Sampling)
✅ Temperature vs Top-P (clear difference)
✅ Real-world examples

🎯 This video is perfect for:

✔ Prompt Engineering learners
✔ Developers building AI apps
✔ Data Science & AI students
✔ Beginners in Generative AI
👍 Like | 🔔 Subscribe | 💬 Ask your doubts in comments
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Видео Generative AI Day 6 | LLM Parameters Explained Simply канала Abhishek Mishra