#importance sampling
81 related articles
On-Policy Distillation Explained: Prin…
·3 min
On-Policy Distillation Explained: Principles, Advantages, and Applications — A Comprehensive Guide
A deep dive into On-Policy Distillation: core principles, key differences from Off-Policy methods, and applications in model compression, reasoning transfer, RLHF alignment, and self-improvement.
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·3 min
The Complete Guide to Prompt Engineering: From Zero to Practical Application
A complete guide to learning Prompt Engineering, covering LLM selection, prompt writing techniques, zero-shot/few-shot prompting, chain of thought reasoning, and Python API development.
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·4 min
OpenAI CFO Sarah Fryer on How AI Is Reshaping Finance
OpenAI CFO Sarah Fryer shares real-world AI applications in finance teams, including investor relations GPTs, full-coverage auditing, tax automation, and career advice for the AI era.
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·3 min
Loopcraft Explained: Loop-Stacking Architecture Design in AI Agent Development
Deep dive into Loopcraft loop-stacking architecture for AI Agent development, covering retry, self-validation, and meta-learning loops to boost reliability.
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·4 min
Cursor Composer2 Training Revealed: A Complete Guide to Distributed Reinforcement Learning Engineering
Deep dive into how Cursor trained Composer2: two-stage architecture, global distributed clusters, MOE numerical alignment, simulation anti-cheating, and more.
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·3 min
vLLM Deep Dive: How PagedAttention Enables High-Throughput LLM Inference
Deep dive into vLLM's core technologies for high-throughput LLM inference, including PagedAttention memory management, continuous batching, distributed deployment, and comparisons with TensorRT-LLM.
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Tutorials·4 min
Core Methodology of Prompt Engineering: Principles, Techniques, and Complete Practical Guide
Deep analysis of Prompt Engineering core methodology: from LLM principles to the three key principles of specific, rich, and unambiguous prompts, plus programming advantages in the AI era.
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Product Reviews·3 min
Photoshop 2025 Deep Dive: Seven New Features Including AI Retouching and 3D's Return
Deep dive into Photoshop 2025's seven new features: 3D object support returns, Find Distractions removes wires and people, Firefly Model 3 upgrades generation quality, Generative Workspace enables batch creation, with detailed comparisons and usage tips.
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Tutorials·3 min
Learn AI Agents in 30 Days: A Four-Stage Learning Roadmap from Zero to Production
A systematic breakdown of the AI Agent learning roadmap covering core architecture, ReAct/CoT paradigms, multi-agent collaboration, and Prompt optimization across four stages with quality resource recommendations.
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Product Reviews·3 min
DLSS 4.5 Deep Integration with UE5 and Multilingual AI Characters: Major NVIDIA RTX Game Development Update
NVIDIA releases major RTX update with DLSS 4.5 deep UE5 integration for frame generation performance leaps and multilingual AI characters supporting dynamic dialogue with real-time speech synthesis.
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Research·3 min
Inside Cursor Composer 2 Training: A Complete Breakdown of Its Distributed Reinforcement Learning Architecture
Deep dive into how Cursor trained Composer 2 on Fireworks: async pipeline architecture, MoE numerical precision challenges, Router Replay, and global distributed GPU coordination.
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Tutorials·2 min
Introduction to Prompt Engineering: The Real Reason AI Can't Understand You
Why does AI always give irrelevant answers? This article explains prompt engineering fundamentals from the probabilistic prediction principles of LLMs, teaching you how to communicate effectively with AI.
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Tutorials·3 min
AI Agent Context Management in Practice: A Complete Guide from Death Loops to Intelligent Truncation
Deep dive into AI Agent context management: a three-step strategy from naive truncation to intelligent memory, covering sub-Agent architecture and long session evals to solve LLM context bloat.
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Tutorials·4 min
Harness Engineering in Practice: A Three-Layer Architecture for Taming AI Agent Development
A detailed guide to Harness Engineering's three-layer architecture for controlling AI Agent code generation quality, covering the Information, Constraint, and Automation layers with practical setup and pitfall avoidance tips.
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Deep Dives·3 min
Reinforcement Learning Drives AI Reasoning Evolution: From Imitator to True Thinker
How RL, Self-Play, and Verifiers work together to evolve LLM reasoning — driving the leap from SFT imitation to true System 2 deep thinking.
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Deep Dives·4 min
AI Guardrails Index: A Comprehensive Guide to the Most Complete LLM Safety Evaluation Framework
Deep dive into the AI Guardrails Index: the most comprehensive LLM safety evaluation framework covering PII protection, jailbreak defense, harmful content filtering, and its open-source design.
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Deep Dives·2 min
Cursor SDK /orchestrate Explained: Recursive Multi-Agent Collaboration for Complex Programming Tasks
Cursor SDK launches /orchestrate skill, using recursive multi-agent spawning for complex tasks with 20% Token savings and 80% faster cold starts.
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Tech Frontiers·3 min
Simulation Reshaping AI Testing: A New Paradigm for Systematically Validating AI Application Reliability
Explore how simulation solves AI testing challenges, covering scenario simulation, large-scale regression testing, and multi-agent verification to build reliable AI systems.
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Tutorials·2 min
ComfyUI-WanVideoWrapper: A Complete Guide to Installing and Using Wan Video Generation Nodes
A detailed guide to ComfyUI-WanVideoWrapper: integrate Wan video generation models into ComfyUI with text-to-video and image-to-video workflows, VRAM optimization tips, and use cases.
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Tutorials·5 min
Claude Code Best Practices: What a 50K-Star Project Reveals About Engineering AI-Assisted Programming
Deep analysis of the 50K-star GitHub project claude-code-best-practice, covering the transition from Vibe Coding to Agentic Engineering with frameworks for context engineering, task orchestration, and iterative development.
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