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Learn how to use AutoScientist, an AI tool that automates model fine-tuning for beginners. This tutorial walks you through setting up the environment, preparing data, and running automated training sessions.
smol-audio is a Colab-friendly notebook collection that simplifies fine-tuning of leading audio AI models like Whisper, Parakeet, and Voxtral.
LoRA, a widely used technique for fine-tuning large language models, assumes all updates are similar — a premise that fails in real-world production environments. This limitation is now prompting a reevaluation of its effectiveness in complex, diverse applications.
Researchers from Meta, Cornell, and CMU introduce TinyLoRA, a 13-parameter fine-tuning method that achieves 91.8% accuracy on GSM8K using Qwen2.5-7B.
Learn how to use Unsloth Studio, a no-code interface for fine-tuning Large Language Models locally with 70% less VRAM usage.
A new tutorial demonstrates how to build a stable and efficient QLoRA fine-tuning pipeline using Unsloth, addressing common Colab issues and enabling resource-efficient LLM training.