Tag: Fine-Tuning

TeamTR introduces trust-region fine-tuning to prevent shared-context drift, a critical failure mode in multi-agent LLM systems, …

Mistral AI's Vox-Trainer is a new multimodal model capable of understanding and generating both spoken audio and text, with accessible …

Learn how to use Tunix, a JAX-native library for LLM post-training and specialization.

Learn how to perform Supervised Fine-Tuning (SFT) with Tunix, a powerful tool for aligning LLMs.

Learn how to fine-tune a conversational agent using Tunix, JAX, and Flax.

Learn how to fine-tune Large Language Models for specific tasks using efficient techniques like PEFT and the Hugging Face library.

Learn how to fine-tune a Large Language Model for a specific task using Parameter-Efficient Fine-Tuning techniques like LoRA.

A comprehensive guide to Large Language Model (LLM) pre-training and fine-tuning concepts, covering Supervised Fine-tuning (SFT), …