LLM Fine-Tuning 19: Fine-Tune Any LLM with Axolotl 🔥 Low-Code YAML Based Training (No Heavy Coding)

In this video, you’ll learn how to fine-tune ANY Large Language Model (LLM) using Axolotl with a low-code, YAML-based workflow — no heavy coding required Axolotl is a powerful open-source framework built on top of Hugging Face that simplifies LLM fine-tuning, LoRA / QLoRA, SFT, DPO, RLHF, and multimodal training using a single YAML configuration file. What you’ll learn in this video: What Axolotl is and why it’s better than plain Hugging Face training How YAML-based low-code fine-tuning works Fine-tuning LLMs using LoRA & QLoRA Training models like LLaMA, Mistral, Qwen, Mixtral Dataset…