14. Fine-Tuning with Quantization and LoRA

In this course, you'll dive into the theory behind quantization and LoRA principles 📚.

Here's what you can look forward to uncovering:

🔍 Explore how quantization trims down LLMs, using fewer bits to make them memory-efficient and faster for real-time applications.

🛠️ Delve into the magic of Low-Rank Adaptation (LoRA), which streamlines LLMs by trimming specific weight matrices, boosting efficiency without compromising performance.

🔧 Fine-Tuning with Quantization and LoRA: You'll learn the art of seamlessly integrating these techniques during the …

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