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...

Shocking news! DeepSeek-Prover-V2-671B is quietly online, which may pave the way for R2. The AI ​​big model field is making waves again. What is the charm of this open source big model? It not only takes a big step forward in complex reasoning, but also may integrate proof-based intelligence into general models. Want to know what open source big models mean? Click here to read the details!

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...

In-depth analysis of the development of large language models, focusing on cue word engineering. From its origin to its widespread application today, it reveals the key role of cue word engineering in large language models. Detailed explanation of how to write good cue words, including practical strategies for scenarios such as daily conversations. Whether you are a developer or an enthusiast,...

In-depth analysis of the key to large model training: precision selection from Float64 to INT4. This article details 8 precision solutions based on technical principles and actual cases. Covering the technical principles and architecture of large models, it helps you balance performance and cost and find the best precision for your business. Click to read and start your exploration of large...

In-depth analysis of large model training, taking DeepSeek-V3 as an example, to help you understand pre-training and post-training. Detailed description of how pre-training lays a foundation for general knowledge, and how post-training allows the model to "speak correctly and answer well". Contains rich practical content, such as supervised fine-tuning of DeepSeek-V3. Master the fine-tuning...

Explore the development secrets of the AI ​​era and deeply analyze the status quo and principles of big model technology. The article focuses on the computing power, data, reasoning and other challenges faced by big models, as well as the current development direction, such as optimizing the underlying computing power, innovating architecture algorithms, and embedding business closed loops. It...

In-depth analysis of the AI ​​full-stack engineering system, focusing on how RAG works with Prompt Engineering and AI Agent. Detailed explanation of the RAG technical principles, revealing its key role in solving the knowledge limitations and hallucination problems of large language models. Learn about the unique advantages of RAG technology in enhancing model generation capabilities, click to...

On May 11, 2025, we will analyze the open source visualization tools for the large model generation process, the misunderstanding of Zerosearch, and the issues related to RAG documents. We will introduce a variety of practical visualization tools, such as OpenMAV, logitloom, ReasonGraph, etc., to help explore the internal mechanisms of large models. We will also discuss technical points such...

"Major breakthrough! Alibaba's open source search engine big model ZeroSearch will be launched in 2025! It subverts the RAG architecture that traditional AI search relies on, and uses the big model's endogenous search engine to show its powerful advantages. As an open source big model, ZeroSearch has excellent performance and is eye-catching in the open source big model ranking. The cost is...