Tag

#fine-tuning

6 articles

Adaption aims big with AutoScientist, an AI tool that helps models train themselves

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.

May 1316

tools

smol-audio: A Colab-Friendly Notebook Collection for Fine-Tuning Whisper, Parakeet, Voxtral, Granite Speech, and Audio Flamingo 3

smol-audio is a Colab-friendly notebook collection that simplifies fine-tuning of leading audio AI models like Whisper, Parakeet, and Voxtral.

Apr 2823

The LoRA Assumption That Breaks in Production

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.

Apr 2629

This AI Paper Introduces TinyLoRA, A 13-Parameter Fine-Tuning Method That Reaches 91.8 Percent GSM8K on Qwen2.5-7B

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.

Mar 2449

Unsloth AI Releases Unsloth Studio: A Local No-Code Interface For High-Performance LLM Fine-Tuning With 70% Less VRAM Usage

Learn how to use Unsloth Studio, a no-code interface for fine-tuning Large Language Models locally with 70% less VRAM usage.

Mar 1785

tools

How to Build a Stable and Efficient QLoRA Fine-Tuning Pipeline Using Unsloth for Large Language Models

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.

Mar 3131