Explore innovative applications of large language models. Local deployment of open source large models is no longer difficult! Xinference distributed reasoning framework is launched, which can easily achieve one-click deployment of large language models, speech recognition models, etc. Whether you are a researcher or a developer, you can use it to explore more possibilities. Click to read and...

In-depth analysis of the core engines of large language models, including Transformers, vLLM, etc. Revealing the technical principles and technical architecture of large models. Transformers is the all-around king in the field of NLP, and vLLM is the peak of GPU inference performance. Llama.cpp makes it possible for CPU to run large models. SGLang is a potential new star, and MLX is the light...

Explore how AG-UI breaks down the barriers between AI and applications, making AI assistants an efficient productivity tool! It solves pain points such as fragmented interactions and lack of control, and has four core functions such as token-by-token streaming output. As an open source protocol, it also has ecological advantages such as modular design. Want to learn more about open source big...

"Analyze the memory requirements of privately deployed large models. Taking the QwQ-32B model as an example, it explains in detail the core components such as static parameter memory and dynamic calculation cache. It also introduces the innovative technologies that hide costs and reduce requirements. It covers the fine-tuning technology of large models and discusses how to fine-tune large...

Explore the new trend of local deployment of large models, Deepseek all-in-one machine is popular! It meets the needs of data security and computing power deployment and improves efficiency. It covers a variety of domestic brand products, such as Dimensity Technology, Sangfor, etc., combined with intelligent hardware innovative solutions. Want to know more? Click to read!

Google's grayscale test of "AI mode" has attracted widespread attention! It is based on the large model Gemini, using multi-step planning, search and reasoning. The rise of competitors has led to a decline in Google's traffic, prompting it to make changes. This article deeply explores the technical principles and technical architecture of the large model and analyzes the large model knowledge...

"This article explains in detail how to estimate GPU memory in large model training! Daily projects have a rigid demand for private deployment of large models, and deeply studies the relationship between model usage and GPU graphics card configuration. It covers memory consumption factors such as model parameters and activation values, as well as key points related to model fine-tuning. Click...

The key to exploring large model training is to choose the right smart hardware! In the era of AI reasoning, it is crucial to choose the right GPU for large model training. This article compares A100, 4090, RTX 6000 Ada, RTX 4000 Ada and other hardware in depth, and analyzes them from core parameters to actual performance. Want to know what smart hardware is? Come and read and find the ideal...

The "WeChat Clone" project has sparked heated discussions! WeClone is based on a large language model and uses WeChat chat records to fine-tune the open source large model to create a personalized digital avatar. It supports voice cloning and multi-platform deployment, and has a wide range of application scenarios, such as personal assistant customization and content creation. Want to learn...

In the past two years, the technology circle artificial intelligence, AI has become the industry's popular, "large model ( Large Language Model )" word also often appear in our vision. For ordinary people, while watching and eating melon will certainly have doubts, GPT, artificial intelligence, AI, large model, each of these words can read and understand, but connected but feel incomplete understanding. Today we will talk about what the "big model" is, why is it so amazing?