RAGFlow Guide: Deep Document Understanding for RAG Engines

by | Jun 3, 2026

IntroductionThe biggest challenge in building production-grade Retrieval-Augmented Generation (RAG) systems isn’t the Large Language Model (LLM) itself, but the quality of the data being retrieved. Most open-source RAG tools struggle when faced with complex...

Mergoo: Open-Source Model Merging Across Architectures and Sizes

by | Jun 3, 2026

IntroductionThe landscape of Large Language Model (LLM) development is shifting from pure training to sophisticated model composition. As the community produces thousands of fine-tuned variants of Llama, Mistral, and Qwen, the ability to combine these models into...

Colossal-AI Guide: Scaling Large AI Models with Distributed Training

by | Jun 3, 2026

Introduction The rapid evolution of Large Language Models (LLMs) has created a significant barrier for many developers and organizations: the sheer scale of hardware required for training. Training a model with billions of parameters often demands massive GPU clusters...

LLMs-from-scratch: Build a Large Language Model from the Ground Up

by | Jun 3, 2026

IntroductionThe rapid evolution of generative artificial intelligence has left many developers wondering exactly how these massive systems function beneath the surface. While many rely on proprietary APIs, the true power of understanding AI lies in the ability to...