Tag: LLM

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.

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

Learn the principles and practices of crafting effective prompts to guide Large Language Models (LLMs) for specific tasks.

Learn how to extend LLM capabilities with tools and function calling for real-world applications.

Learn about the unique security threats, privacy concerns, and ethical considerations in developing agentic AI systems using LLMs.

Guide to using LangChain for LLM orchestration, including core syntax and essential patterns.

Learn to install and use LangExtract for structured data extraction from unstructured text.