Discover the art of fine-tuning any open-source LLM for free with Unsloth. This beginner-friendly session will equip you with essential skills, including data preparation, accelerating fine-tuning by 2x, saving and serving models via vLLM or GGUF, and more. Dive into the world of fine-tuning Mistral, Llama, and Gemma effortlessly.

Throughout this workshop, you'll uncover the rationale behind fine-tuning over RAG or prompting, and discern when it's most advantageous. Master the art of training your fine-tuned model swiftly using Unsloth in Google Colab, doubling your efficiency.

Meet Daniel, a tech wizard with a passion for pushing the boundaries of innovation. With a background that includes a stint at NVIDIA and currently spearheading Unsloth alongside his brother, Daniel is making waves in the realm of AI and machine learning.

In his previous role at NVIDIA, Daniel left an indelible mark, contributing to groundbreaking advancements such as making TSNE 2000x faster and Randomized SVD 2x faster. His expertise extends beyond mere performance enhancements; Daniel also played a pivotal role in addressing numerous bugs, fixing 8 Gemma bugs, and collaborating with industry giants like Pytorch, IBM, Intel, and HuggingFace on various open-source projects.