Introducing Google's Gemma 3 QAT: A breakthrough in quantization-aware training that enables edge AI deployment with FP16-level performance at quarter memory usage.
A practical guide for deploying Qwen2.5-7B-Instruct model on a dual-node cluster using SGLang, focusing on high-concurrency enterprise scenarios.
Explore four pillars of modern AI: Agent, RAG, Function Call, and MCP. Learn how these technologies work together to enhance AI capabilities through practical examples and analogies.
Comparing Qwen2.5-Omni and MiniCPM-V (2.8B) local deployment, Analysis of parameters, hardware needs, and optimal use cases.
Mistral Small 3.1 vs Gemma 3: Compare 24B vs 27B parameters, performance benchmarks, hardware requirements, and real-world applications. Discover which lightweight LLM offers better efficiency and multimodal capabilities.
Learn to implement LLM-Reasoner framework for enhanced logical reasoning like DeepSeek R1. Step-by-step guide for building AI systems with advanced thinking capabilities.
CogAgent-9B: A 9B-parameter GUI agent by Zhipu AI and Tsinghua University that excels in interface understanding and automation, outperforming other models in MM-Vet and more benchmarks
In-depth comparison and analysis of popular AI model deployment tools including SGLang, Ollama, VLLM, and LLaMA.cpp, helping developers and users choose the most suitable AI model deployment tool
A comprehensive guide to InternLM-XComposer-2.5-OmniLive multimodal model: Supporting image, video and audio processing with complete deployment tutorials and performance evaluation.
A comprehensive guide to building AI chat applications with Ant Design X - learn core components, conversation management, theme customization and best practices for creating professional AI interfaces