2026.01.30
Chapter 1: The World of LLM Post-Training and Tunix
Learn how to use Tunix, a JAX-native library for LLM post-training and specialization.
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2026.01.30
Chapter 4: Your First Tunix Fine-Tuning: Supervised Fine-Tuning (SFT)
Learn how to perform Supervised Fine-Tuning (SFT) with Tunix, a powerful tool for aligning LLMs.
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Chapter 10: Fine-Tuning Large Language Models (LLMs)
Learn how to fine-tune Large Language Models for specific tasks using efficient techniques like PEFT and the Hugging Face library.
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Chapter 13: Project 1: Fine-Tuning a Conversational Agent
Learn how to fine-tune a conversational agent using Tunix, JAX, and Flax.
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Chapter 23: Project: Fine-Tuning an LLM for a Specific Task
Learn how to fine-tune a Large Language Model for a specific task using Parameter-Efficient Fine-Tuning techniques like LoRA.
ACCESS_FILE >>2026.05.26
NEW
TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination: Research Explainer for Builders
TeamTR introduces trust-region fine-tuning to prevent shared-context drift, a critical failure mode in multi-agent LLM systems, significantly …
ACCESS_FILE >>2026.04.12
Mistral AI's Vox-Trainer and Fine-Tuning: Research Explainer for Builders
Mistral AI's Vox-Trainer is a new multimodal model capable of understanding and generating both spoken audio and text, with accessible fine-tuning …
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Tunix: A Zero-to-Advanced Guide for LLM Post-Training
A comprehensive guide to mastering Tunix, a JAX-native library for LLM post-training.
ACCESS_FILE >>2025.08.22
Mastering LLM Fine-tuning: Pre-training, SFT, and PEFT for Custom Models
A comprehensive guide to Large Language Model (LLM) pre-training and fine-tuning concepts, covering Supervised Fine-tuning (SFT), Parameter-Efficient …
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