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Deep DivesA systematic guide to AI Agents covering core principles of perception, decision-making, and action, plus the technical stack of LLMs, tool calling, memory systems, and RAG, with real-world use cases.
TutorialsStep-by-step guide to locally deploy a personal AI knowledge base with DeepSeek + RAGFlow + Ollama. Covers RAG principles, Ollama setup, Docker deployment, and knowledge base optimization.
Deep DivesDeep dive into LangChain's five core modules: Model I/O, Data Connection & Retrieval, Chains, Agents, and Memory. Learn RAG workflows, Agent decision-making, and practical AI app development.
Tech FrontiersGoogle Jules 1.5 gets a major upgrade with daily free tasks jumping from 5 to 60, plus new copy/download buttons, context preservation, and significant performance improvements.
Expert OpinionsAnthropic's 1M conversation study shows 0.92 correlation between prompting skill and AI output quality. Knowledge equality is an illusion—judgment is the real moat in the AI era.
Tech FrontiersDeep dive into StepFun's Step 3.5 Flash: 196B parameter MoE model activating only 11B, 350 tokens/sec coding speed, 256K context window, local deployment ready. How it beats Gemini 3 Flash.
Product ReviewsHands-on testing of Manus general AI Agent across history report generation, Tesla stock analysis, and GAIA benchmarks. Compares vertical vs general agents with scoring data and limitation analysis.
Product ReviewsHands-on Manus AI Agent review: generate a playable Snake game and physics animation site with one prompt. Covers registration, how it differs from ChatGPT, cloud execution, and current limitations.
Product ReviewsManus AI Agent is now fully open. This hands-on review tests it through a complete social media startup scenario—from research to content production—revealing its real capabilities and limitations.
TutorialsLearn how a custom MCP plugin connects Trae AI IDE with FoxTable, using knowledge bases and prompt engineering to build a complete business system in 4 minutes.
Product ReviewsReal-world comparison of Manus, Tiangong, and Liaobots translating English tech presentation subtitles, scored across colloquial handling, terminology accuracy, and ASR error correction.
Deep DivesDeep analysis of NVIDIA's latest video AI Agent solution, using multimodal LLMs and modular Skills architecture to transform massive surveillance video into searchable real-time intelligence.
TutorialsA deep dive into NVIDIA Model Optimizer's PTQ workflow, covering INT8/INT4 quantization principles, calibration methods, RTX GPU optimization, and best practices for deploying quantized LLMs on consumer GPUs.
Tutorials2025 complete guide to AI LLMs: local deployment GPU/VRAM requirements (RTX 4090/24GB) and core tech stack including Prompt Engineering, Agents, MCP, LangGraph, and WorkFlow orchestration.
Product ReviewsDeep analysis of the GitHub project awesome-LLM-resources covering multimodal generation, AI Agents, MCP protocol, model training/inference, o1 models, and SLMs—a community-verified 8200+ Star LLM learning resource hub.
Product ReviewsDeep analysis of the awesome-LLM-resources project (8200+ GitHub Stars), covering multimodal AI, Agents, MCP protocol, model training, o1 reasoning, SLMs, and more for LLM practitioners.
Product ReviewsDeep dive into AnythingLLM, a privacy-first, zero-config local AI productivity platform. Supports RAG document chat, multi-model integration, knowledge bases, and AI Agents with nearly 60K GitHub stars.
Product ReviewsDeep dive into Chatbox, an open-source AI client with nearly 40K GitHub Stars. Supports GPT-4, Claude, Gemini multi-model switching, local data storage for privacy, and cross-platform desktop use.
Product ReviewsDeep dive into Cube Studio, Tencent Music's open-source one-stop AI platform, covering architecture design, distributed training, large model fine-tuning and inference, and domestic chip adaptation.
Deep DivesComprehensive guide to Hugging Face Transformers, the 160K-star GitHub framework—covering architecture, multimodal support, quantization, and inference optimization for loading, fine-tuning, and deploying pre-trained models.