In-depth exploration of the secrets of fine-tuning large models! At a time when AI is developing rapidly, how to make models better understand human needs is the key. The emergence of reinforcement fine-tuning brings new hope. It combines human feedback with reinforcement learning to optimize model output. The article introduces model fine-tuning methods in detail, such as the principles of...

Explore the secrets of the DeepSeek-Prover-V2-671B large language model! It is a new model released by DeepSeek in the open source community. It adopts the DeepSeek-V3 architecture and has many innovative features. It supports multiple calculation precisions, can handle complex mathematical proofs, and enhances capabilities through large-scale synthetic data. Want to learn more about the charm...

Exploring the future of AI, is RAG really dead? Actually not! RAG technology is not simply expanding the context window, but its principle is to inject external knowledge into the model in real time. It can make up for the limitations of pre-training data and solve the fatal weaknesses of the model such as the inability to access private data. Want to learn more about RAG technology? Click to...

Explore new breakthroughs in the intelligent agent development platform! ACI.dev's open source MCP platform is now available, allowing intelligent agents to automatically select the appropriate API combination to complete tasks based on natural language instructions. It supports 600+ tool integrations and has powerful features such as dynamic discovery. Want to learn about open source big...

Want to let the big language model help you organize your computer desktop easily? This article explains it in detail! Based on the MCP protocol, use Golang to build an intelligent cleaning system, and combine the big language model to achieve automated operations. It not only introduces the MCP architecture design and communication process, but also the details of Server implementation. New...

Explore the innovative application of big models in the power industry, such as intelligent generation and verification of dispatching operation tickets and intelligent monitoring of illegal operations at production sites. Based on the big model knowledge base, integrate general and vertical models, build a knowledge graph, and improve work efficiency and safety. Smart hardware development and...

In-depth analysis of the actual comparison of tens of millions of vector databases, including Milvus, Qdrant, Chroma, Weaviate, etc. Revealing to you how to choose the right database in large model development. The article also covers key content such as knowledge graph construction tools and what knowledge graphs are, helping you improve RAG related projects. Click to read for details!

In-depth analysis of the core mechanism of the big language model! This article will help you understand the differences between Function Calling, MCP, and A2A. It will explain in detail the technical principles and technical architecture of the big model, such as how Function Calling solves the problem of real-time update of big model knowledge, and how MCP reduces the cost of connecting...

In-depth analysis of the RAG technical framework, comparing the core differences between LangChain and LlamaIndex in one article! From functional features to applicable scenarios, a comprehensive analysis of the two frameworks. Whether you want to flexibly build complex AI applications or focus on efficient data retrieval, there is always one that suits you. Click to read for details!

Take a deep dive into the latest developments of big language models! This article reveals a panoramic view of AI Agent communication protocols in big language models, and analyzes the status quo and principles of big model technology. It shows you how to break information silos and build intelligent networks. Whether it is academic research results or classification frameworks in practical...