Fine-Tuning LLMs: My Top Techniques and Best Practices
That’s not just surprising, it raises an important question: are we actually fine-tuning the right way? In this guide, you’ll learn the most effective ways to fine-tune large language models, including advanced techniques like transfer learning, few-shot learning, multi-task learning, and reinforcement learning from human feedback (RLHF). You’ll also explore best practices for setting up your...
- Asma Arshad
- June 25, 2025