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Product ReviewsManus AI Deep Dive: What Makes the AI Agent Meta Acquired for $2 Billion So Powerful
In-depth testing of Manus AI across PPT creation, full-stack web development, and channel analytics. Discover why Meta paid $2 billion for this general-purpose AI agent.
TutorialsTrae MCP Plugin for FoxTable in Action: AI Builds a Complete Business System in 4 Minutes
Learn 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 ReviewsKimi OK Computer Hands-On Review: In-Depth Evaluation of AI Agent Performance Across Four Scenarios
In-depth hands-on review of Kimi's AI Agent 'OK Computer' across website building, data analysis, audio picture books, and PPT creation. Can an agent with 20+ built-in tools truly do your work?
TutorialsBuild an AI App with Codex from Scratch: A Complete Guide from Idea to Deployment
A hands-on guide to building and deploying an AI image generation website using OpenAI Codex with zero coding — covering planning, Supabase setup, and Vercel deployment.
Product ReviewsManus vs Tiangong vs Liaobots: AI Subtitle Translation Real-World Scoring Comparison
Real-world comparison of Manus, Tiangong, and Liaobots translating English tech presentation subtitles, scored across colloquial handling, terminology accuracy, and ASR error correction.
Product ReviewsMiniMax M2.7 Hands-On Review: Coding Ability Rivals Claude Opus at 50x Lower Cost
In-depth hands-on review of MiniMax M2.7 agentic model: coding ability rivals Claude Opus 4.6 at 50x lower input cost. Real-world tests include MacOS system generation, game dev, and dynamic landing pages.
Product ReviewsManus AI Hands-On Review: Can This AI Agent Actually Do Your Work? 4 Real-World Scenarios Tested
In-depth hands-on review of Manus AI across 4 real scenarios: competitor analysis, content planning, no-code website building, and automated PPT creation. See how this AI Agent evolves from assisting thinking to executing tasks.
TutorialsCoze Tutorial: Complete Hands-On Guide to Building AI Agents Without Code
Complete guide to building AI agents on Coze with zero code, covering prompts, LLM parameters, plugins, knowledge bases, and memory functions.
TutorialsGB200 NVL72 Block Scheduling in Practice: How Slurm Squeezes Every Bit of Rack-Level NVLink Performance
Deep dive into how Slurm block scheduling maximizes NVIDIA GB200 NVL72 rack-level NVLink performance through topology-aware allocation, reducing fragmentation and boosting GPU utilization by 15-25%.
Deep DivesHow NVIDIA AI Agents Turn Massive Video Feeds into Searchable, Real-Time Intelligence
Deep 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.
TutorialsNCCL Inspector Explained: Real-Time GPU Cluster Communication Monitoring with Prometheus Integration
Deep dive into NVIDIA NCCL Inspector for real-time GPU cluster communication monitoring with Prometheus integration, covering straggler detection, alerting, and Grafana visualization for distributed training optimization.
TutorialsNVIDIA Model Optimizer Post-Training Quantization (PTQ) Practical Guide
A 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.
Deep DivesThe MARVIS Project: A Complete Analysis of Embedded AI Agents Empowering Autonomous Space Exploration
Deep dive into how the MARVIS project deploys LLM agents on spacecraft, covering agent architecture, edge hardware token performance benchmarks, expert evaluations, and space AI benchmark planning.
TutorialsLangGraph Multi-Agent in Practice: Building a Medical Agent System from Scratch
A deep dive into LangGraph multi-agent architecture for healthcare, covering LangChain, RAG, and MCP integration, from requirements analysis to Agent orchestration.
TutorialsBeginner's Guide to AI Large Language Models: GPU Requirements & Core Tech Stack Explained
2025 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.
TutorialsGoogle AI Studio Tutorial: A Complete Guide to Building AI Apps with Zero Code
Complete guide to Google AI Studio: interface layout, Gemini model selection, parameter tuning, and building zero-code AI apps with Build. Covers image, video, and music generation with practical examples.
Deep DivesAI Model Deployment Pipeline Friction: How TensorRT Systematically Eliminates Inference Optimization Bottlenecks
Deep dive into pipeline friction in AI model deployment from training to production, covering TensorRT automated optimization, ONNX export, and Triton Inference Server best practices.
Deep DivesNVIDIA Vera Rubin Platform Deep Dive: Solving the Scalability Challenge of Agentic AI Inference
Deep dive into NVIDIA's Vera Rubin platform Pod-level architecture and next-gen NVLink, revealing how it solves Agentic AI inference scalability bottlenecks and the industry shift from training-first to inference-first.
Deep DivesNVIDIA Fleet Intelligence Explained: Real-Time Monitoring and Intelligent Optimization for GPU Clusters
Deep dive into NVIDIA Fleet Intelligence for GPU clusters: real-time visualization, AI anomaly detection, utilization optimization, and energy management to boost large-scale GPU infrastructure efficiency.
Tech FrontiersOpenClaw's Six Rename History: Tracing an Open Source Project's Naming Evolution Through Git Commit Records
OpenClaw went through six renames from Warelay to its final name. Simon Willison used a Python script to reconstruct this complete naming evolution from Git commit history.