Tag: LLM

Learn to design, structure, and optimize context for Large Language Models (LLMs) to improve performance, reliability, and output quality in …

Learn to implement robust AI observability for production systems, covering logging, tracing, metrics, cost monitoring, and debugging of AI …

Explore modern Retrieval-Augmented Generation (RAG 2.0) systems, mastering hybrid search, GraphRAG, multi-hop retrieval, and agentic …

Comprehensive comparison of Akka Agentic AI and LangChain - features, performance, pros & cons, and when to use each for LLM orchestration …

Comprehensive comparison of 10 leading open-source AI tools for solo developers - features, performance, pros & cons, and when to use each …

Comprehensive comparison of LlamaIndex and LangChain - features, performance, pros & cons, and when to use each.

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.