35 What is Mixed Precision? | Optimizing AI Models with Mixed Precision | Generative AI 2025

In this video, we explore Mixed Precision — a technique used to optimize AI models and accelerate training, while maintaining model performance. Learn how using half-precision floating-point numbers (FP16) instead of the standard single-precision (FP32) can lead to significant improvements in speed and memory efficiency.

🧠 What you’ll learn:

What Mixed Precision is and why it’s used in AI

The difference between FP32 and FP16

How Mixed Precision improves training speed and memory usage

The benefits of lower precision arithmetic without compromising model accuracy

Techniques for implementing Mixed Precision in your AI projects

If you're working with large models and need to speed up training without compromising performance, this video is for you!

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