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Model Settings Explained | Temperature, Max Tokens, Tool Choice & Parallel Tools

Muhammad Muaaz Ansari

Muhammad Muaaz

Muaaz Ansari

Muaaz

Ansari

Muaaz Attari

Agentic

agentic ai

Agentic AI

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ai model settings

temperature explained

max tokens explained

toolchoice llm

parallel tools ai

ai temperature setting

llm configuration tutorial

agentic ai model settings

Автор: Muhammad Muaaz Ansari

Загружено: 2025-11-18

Просмотров: 23

Описание: Learn how to master AI Model Settings to get more accurate, powerful, and predictable outputs.
In this video, I explain Temperature, Max Tokens, ToolChoice, and Parallel Tools — step-by-step — in a simple and practical way so you can build better Agentic AI systems, smarter agents, and more reliable apps.

Whether you are using OpenAI, Gemini, OpenRouter, LiteLLM, or Groq, these settings work everywhere.
This is a must-watch video if you want consistent output, fewer errors, and more control over your AI models.

🔥 What You Will Learn

What is Temperature? (Creative vs. consistent outputs)

What are Max Tokens? (Prevent cut-off responses)

What is Tool Choice? (Force tools, auto tools, and no-tool mode)

What are Parallel Tools? (Run multiple tools at the same time)

How these settings affect LLMs, Agents, and real-world apps

Best practices to get perfect results every time

🧠 Why This Matters?

Most beginners ignore these settings — but they are the core of Agentic AI development.
After watching this video, you will be able to:
✔ Control the model
✔ Reduce randomness
✔ Improve output quality
✔ Save time & money
✔ Make your agents more powerful

⛓️ Watch the Full Agentic AI Playlist

   • Agentic AI Explanation in the most simple ...  

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Model Settings Explained | Temperature, Max Tokens, Tool Choice & Parallel Tools

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