Tag: LLM

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 Tunix, built on JAX and Flax NNX, handles model architectures and state management for effective post-training.

Learn how to implement basic RLHF workflows with Tunix for creating helpful and aligned Language Models.

Learn how to scale large language models using Tunix and JAX for distributed training.

Learn how to optimize and profile your Tunix-powered LLM post-training for better performance.

Learn how to customize Tunix with custom loss functions, optimizers, and callbacks for advanced LLM post-training.

Learn advanced RLHF strategies, focusing on Proximal Policy Optimization (PPO) with Tunix.

Learn to align an LLM for factual accuracy using Tunix, a JAX-native framework.

Learn how to effectively debug and troubleshoot Tunix workflows using JAX.

Learn how to deploy fine-tuned LLMs using FastAPI and Docker for efficient, scalable inference.

Explore ethical considerations and responsible AI practices in the post-training phase of Large Language Models.