Claude AI Skills: How to Build Workflow Skills to Stop Copy-Pasting Prompts Forever
1 months ago 高效码农From Repetitive Prompts to AI Systems: How I Boosted My Workflow Efficiency by 300% Using Claude Skills Three months ago, I was stuck in a loop, copying and pasting the same prompts into Claude, over and over. Every conversation felt like starting from scratch. Today, I operate a suite of automated systems. These systems execute entire decision-making frameworks, generate content in my unique brand voice, and guide me through complex problems with step-by-step precision. The pivotal shift occurred when I changed my perspective. I stopped treating Claude like a simple chatbot and started treating it like a new team member …
Mastering Context Engineering for Claude Code: The Ultimate Guide to Optimizing LLM Outputs
1 months ago 高效码农Mastering Context Engineering for Claude Code: A Practical Guide to Optimizing LLM Outputs In the realm of AI-driven coding tools like Claude Code, the days of blaming “AI slop” on the model itself are long gone. Today, the onus falls squarely on the user—and the single most controllable input in these black-box systems is context. So, how do we optimize context to unlock the full potential of large language models (LLMs) like Claude Code? This comprehensive guide will break down everything you need to know about context engineering, from the basics of what context is to advanced strategies for maximizing …
Vibe Coding from Zero: Your No-Experience Guide to Building Apps with Dual-AI
1 months ago 高效码农Vibe Coding from Zero: Build Your First App with No Experience Using a Dual-AI Setup Have you ever opened your social media feed to see hundreds of posts about “vibe coding,” where everyone seems to be building crazy tools, dashboards, and even full production apps that make money, and felt completely overwhelmed? Don’t worry. It’s actually much simpler than it looks. While the sheer volume of information can be paralyzing, the core pathway can be strikingly clear. This article reveals a proven, beginner-friendly method that leverages powerful AI tools, allowing you to start building real projects—be it bots, dashboards, tools, …
LightX2V: The Unified Framework Making Large-Scale Video Generation Practical
1 months ago 高效码农LightX2V: A Practical, High-Performance Inference Framework for Video Generation Direct answer: LightX2V is a unified, lightweight video generation inference framework designed to make large-scale text-to-video and image-to-video models fast, deployable, and practical across a wide range of hardware environments. This article answers a central question many engineers and product teams ask today: “How can we reliably run state-of-the-art video generation models with measurable performance, controllable resource usage, and real deployment paths?” The following sections are strictly based on the provided LightX2V project content. No external assumptions or additional claims are introduced. All explanations, examples, and reflections are grounded in the …
AntAngelMed: How to Deploy the World-Leading Open-Source Medical LLM in Your Hospital
1 months ago 高效码农Bringing the “Hospital Brain” Home: A Complete, Plain-English Guide to AntAngelMed, the World-Leading Open-Source Medical LLM Keywords: AntAngelMed, open-source medical LLM, HealthBench, MedAIBench, local deployment, vLLM, SGLang, Ascend 910B, FP8 quantization, 128 K context 1. What Is AntAngelMed—in One Sentence? AntAngelMed is a 100-billion-parameter open-source language model that only “wakes up” 6.1 billion parameters at a time, yet it outscores models four times its active size on medical exams, and you can download it for free today. 2. Why Should Non-PhD Readers Care? If you code: you can add a medical “co-pilot” to your app in one afternoon. If you …
AI App Trends 2026: The Critical Shift from Making Tools to Thinking Partners
1 months ago 高效码农The AI App Landscape in 2026: The Paradigm Shift from “Making Tools” to “Thinking Partners” Having delved into the insightful notes on AI applications for 2026, grounded in observations from 2025, a clear and compelling picture of the near future emerges. The current AI application ecosystem is maturing in ways both expected and surprising. We have cracked the code on making software development cheap, yet this reality hasn’t permeated enterprises or the world to the extent its low cost implies. We’ve likely realized less than 10% of its potential impact on how companies are built and what software will exist. …
Master Claude Code Skills: Transform Your AI into Autonomous Specialized Agents
1 months ago 高效码农Mastering Claude Code Skills: Transforming Your AI into a Specialized Autonomous Agent Article Snippet Claude Code’s “Skills” feature is a portable “capability unit” that allows users to package expertise and workflows into structured SKILL.md files. Unlike traditional slash commands, Skills are context-aware and activate automatically based on the conversation. By configuring personal (~/.claude/skills/) or project-based (.claude/skills/) directories, users can transform Claude from a reactive chatbot into a proactive, specialized autonomous agent. Introduction: The Shift from “Q&A” to “Proactive Collaboration” For many AI users, the interaction model remains stagnant: you ask a question, and the AI provides an answer. Even with …
Agent Harness 2026: Why AI’s Operating System Replaces Model-Centric Thinking
1 months ago 高效码农Agent Harness is the critical AI infrastructure wrapping models to manage long-running tasks, acting as an operating system to ensure reliability. It solves the model durability crisis by validating performance over hundreds of tool calls, transforming vague workflows into structured data for training. 2026 AI Evolution: Why the Agent Harness Replaces the Model-Centric Focus We are standing at a definitive turning point in the evolution of Artificial Intelligence. For years, our collective gaze has been fixed almost entirely on the model itself. We obsessed over a single question: “How smart is this model?” We religiously checked leaderboards and pored over …
Counterfactual Video Generation: A Breakthrough to Reduce Hallucinations in Multimodal AI
1 months ago 高效码农Reducing Hallucinations in Multimodal Large Language Models for Video Understanding Through Counterfactual Video Generation Have you ever wondered why multimodal large language models sometimes give answers that sound logical but don’t match what’s actually happening in a video? For instance, if a video shows an object suddenly vanishing, the model might insist it’s still there, relying more on everyday common sense than on the visual evidence right in front of it. This is known as “visual ungrounded hallucinations.” In this article, we’ll explore a innovative approach that uses specially generated counterfactual videos to help these models better understand videos and …
How I Built a Manhua Video App in 8 Days for $20: AI-Powered Mobile Creation
1 months ago 高效码农8 Days, 20 USD, One CLI: Building an Open-Source AI Manhua-Video App with Claude Code & GLM-4.7 Core question answered in one line: A backend-only engineer with zero mobile experience can ship an end-to-end “prompt-to-manhua-video” Android app in eight calendar days and spend only twenty dollars by letting a CLI coding agent write Flutter code while a cheap but powerful LLM plans every creative step. 1. Why Another AI-Video Tool? The Mobile Gap Core question this section answers: If web-based manhua-video makers already exist, why bother building a mobile-native one? Every existing product the author tried was desktop-web only, asking …
Beyond Ghostwriting: The Industrialized AI Paper Writing Loop Powered by High-Density Information
1 months ago 高效码农Beyond Cheap Ghostwriting: Building an Industrialized AI Paper Writing Loop Based on High-Density Information A recent documentary about the academic ghostwriting industry sparked widespread discussion. While public attention focused on the massive essay mill assembly lines in Kenya, a high-end ghostwriter named Teriki, who lived in a seaside apartment, revealed a truth overlooked by 99% of people. His working method inadvertently exposed the ultimate principle of AI-assisted academic writing: The quality of AI output is strictly proportional to the density of information you feed it. This is not just talk. This article will deconstruct a practical, inspired writing methodology. It …
MiniMax-M2.1 AI: The Coding Agent That Finally Masters Java, C++, and Go
1 months ago 高效码农MiniMax-M2.1: Redefining Multilingual Coding Agents with Strong Generalization Snippet: MiniMax-M2.1 achieves a significant leap in coding capabilities, matching or surpassing global top-tier models across benchmarks. Optimized for agentic scenarios, it features a multilingual system covering 10+ languages, a high-concurrency infrastructure launching 5,000+ environments in 10 seconds, and robust generalization across coding scaffolds, scoring over 67 on SWE-Bench in diverse environments. Introduction: When Coding Agents Step Out of the Python Comfort Zone In the rapidly evolving landscape of software development, 2025 has established itself as a pivotal year. As Large Language Models (LLMs) become increasingly integrated into our workflows, the ability …
Dexterous Robotics Breakthrough: How GR-Dexter’s AI Bimanual Hands Master Everyday Tasks
1 months ago 高效码农Exploring GR-Dexter: How AI-Powered Bimanual Dexterous Robots Master Everyday Manipulation Summary GR-Dexter is a hardware-model-data framework for vision-language-action (VLA) based bimanual dexterous robot manipulation. It features a compact 21-DoF ByteDexter V2 hand, an intuitive VR headset and glove teleoperation system, and a training recipe blending teleoperated robot trajectories with large-scale vision-language data, cross-embodiment demos, and human trajectories. In real-world tests, it excels in long-horizon daily tasks and generalizable pick-and-place, achieving up to 0.97 success rates and robust performance on unseen objects and instructions at 0.85+. Imagine a robot that can delicately pick up makeup items, operate a vacuum cleaner with …
Monocular Avatar Magic: Build a 120 FPS Mobile Avatar from a Single iPhone Video
1 months ago 高效码农# From 5-Minute iPhone Video to 120 FPS Avatar: Inside HRM2Avatar’s Monocular Magic > Can a single iPhone video really become a cinema-grade, real-time avatar on mobile? Yes—if you split the problem into “two-stage capture, mesh-Gaussian hybrid modeling, and mobile-first rendering.” HRM2Avatar shows how. ## 1. Why Care: The Gap Between Hollywood Mocap and Your Phone Summary: Current avatar pipelines need multi-camera domes or depth sensors. HRM2Avatar closes the fidelity gap with nothing but the phone in your pocket. Studio rigs cost >$100 k and need experts. NeRF/3DGS monocular methods either look good or run fast—not both. Social gaming, AR …
Dream-VL AI: How Discrete Diffusion Models Are Revolutionizing Robot Vision and Planning
1 months ago 高效码农Dream-VL and Dream-VLA: A Unified Vision–Language and Vision–Language–Action Framework Based on Discrete Diffusion Language Models Snippet (50–80 words) Dream-VL is trained on over 12 million multimodal samples using discrete diffusion, demonstrating strong advantages in long-horizon visual planning and parallel action generation. Dream-VLA is pretrained on 970k robotic manipulation trajectories and achieves 97.2% average performance on LIBERO, 71.4% on SimplerEnv-Bridge, and 60.5% on SimplerEnv-Fractal benchmarks. Table of Contents Introduction Why Discrete Diffusion Language Models (dLLMs)? Dream-VL: Training Data, Capabilities, and Benchmarks Dataset Scale and Training Paradigm High-Level Planning: ViPlan Benchmark Low-Level Action Planning: Speed and Robustness Dream-VLA: Robot Pretraining and Downstream …
Essential Deep Agent Evaluation Strategies: A LangChain Case Study
1 months ago 高效码农LangChain on X: “Evaluating Deep Agents: Our Learnings” Over the past month at LangChain, we’ve launched four applications built on top of the Deep Agents framework: A coding agent LangSmith Assist: an in-app agent to assist with various tasks in LangSmith Personal Email Assistant: an email assistant that learns from each user’s interactions A no-code agent building platform powered by meta deep agents Developing and launching these agents required creating evaluations for each, and we gained valuable insights along the way! In this post, we’ll delve into the following patterns for evaluating deep agents. Deep agents demand custom test logic …
Train Your Own AI: The llm-madness Guide to Building a Pocket-Size Language Model
1 months ago 高效码农Train a Pocket-Size Language Model End-to-End: The llm-madness Handbook A laptop-friendly pipeline that takes you from raw text to a working GPT in one afternoon—no cloud credits, no PhD required. Quick-Fire Answers to the Three Questions Everyone Asks Question One-Sentence Reply What does it actually do? It chains “raw txt → tokenizer → training → visual inspection” on a single machine and leaves you with a reproducible run folder. How good is the hardware barrier? Eight gigabytes of VRAM is enough for a 30-million-parameter model; CPU-only mode is also supported (just slower). Why bother when giant models exist? You can …
Unlocking Log Mysteries: How Collaborative AI Log Anomaly Detection Achieves 99.99% Accuracy
1 months ago 高效码农When Your System Logs Speak: How CoLog’s Collaborative AI Listens for Both Whispers and Shouts Direct Answer: CoLog is a unified deep learning framework that detects both individual log anomalies and collective anomaly patterns by treating logs as a multimodal sentiment analysis problem. It achieves near-perfect accuracy (99.99% average F1-score) by using collaborative transformers that enable semantic and sequential log modalities to teach each other, rather than working in isolation. What Makes Log Anomaly Detection So Challenging? Central Question: Why do traditional log analysis methods fail to catch sophisticated attacks and system failures? Operating systems generate logs like a running …
Youtu-LLM: The Lightweight Autonomous Agent That Outthinks Larger Models
1 months ago 高效码农Youtu-LLM: When a 2B Model Learns to Think and Act What makes Youtu-LLM fundamentally different from other lightweight language models? It’s the first sub-2B model trained from scratch to be an autonomous agent, not just a chatbot—embedding planning, reflection, and tool-use directly into its neural architecture through 340 billion tokens of specialized trajectory data. In the rush to make large language models smaller, we’ve been solving the wrong problem. For two years, the dominant approach has been distillation: take a massive model like GPT-4, shrink it, and hope the magic survives. The result? Models that talk fluently but break down …
AI Diagram Generator: How I Automate Research & Charts with One Sentence
1 months ago 高效码农Say Goodbye to Tedious Research and Drawing: Generate Professional Charts with One Sentence Using AI Have you ever struggled to untangle the complex character relationships in Dream of the Red Chamber? Have you ever wished for a clear timeline or map to help understand historical events while doing research? The traditional approach is painful: spend hours查阅资料, organizing data, then open专业绘图软件, carefully adjusting every node and connection. The entire process is time-consuming and daunting. But now, things are completely different. Imagine simply saying one sentence to an AI, like: “Conduct an in-depth investigation into the relationships between characters in Dream of …