From cutting-edge research to production-ready solutions. Learn from real-world experience, not just theory.
Save up to 40% on API costs. Calculate tokens instantly, compare prices across 210+ AI models.
20+ production-ready prompt templates. Chain-of-Thought, Few-Shot, ReAct patterns following 2025 best practices.
Systematically learn core AI technologies and build a complete knowledge system
Master Retrieval-Augmented Generation technology
Build intelligent autonomous AI agent systems
AI system architecture and performance optimization
Advanced techniques for LLM training
Hand-picked articles showcasing the best of LLM practice
Compare DeepSeek V3 vs Llama 4 architecture: MLA vs GQA attention, MoE vs dense models. Learn how 671B parameters run at 37B speed. Includes code examples and design trade-offs.
Complete guide to Transformer architecture: self-attention mechanisms, encoder-decoder design, and how Transformers power GPT, BERT, and modern LLMs. With code examples and visual diagrams.
Compare 7 LLM sampling methods: Top-P (Nucleus), Temperature, Beam Search, Min-P, Mirostat. Fix repetitive outputs, improve quality. Includes parameter tuning guide for GPT/Claude/Gemini.
Fresh insights and practical techniques
Explore Jason Wei's three laws of AI: the Verifier's Law, Commoditization of Intelligence, and the Jagged Edge. A framework for understanding AI's future progress and automation timeline.
Master distributed RLHF frameworks: Compare OpenRLHF and veRL architectures. Learn Ray Actors, GPU colocation, PPO implementation, and hybrid engine design for scalable reinforcement learning systems.
We tested 10 multi-agent AI frameworks and ranked them by use case. CrewAI wins for production, OpenAI Swarm for learning, AutoGen for complex tasks. Benchmarks, code examples, and decision matrix included.
Cursor 2.0 review: Composer model codes 4x faster (200 tokens/s), integrated browser for UI dev, Agents Mode. Tested vs GitHub Copilot. Is the $20/mo subscription worth it?
Master prompt engineering with this complete 2025 guide. Learn zero-shot, few-shot, and Chain-of-Thought techniques for ChatGPT, Claude, and Gemini. Includes 20+ ready-to-use templates.
AI agent challenges explained: solve latency issues, fix brittle planning, and avoid reflection loops. Advanced engineering patterns and RL techniques for production-ready agentic AI systems.
Practical wisdom from the intersection of research and production
Every technique shared comes from real production systems handling millions of requests. No theoretical fluff, just what works.
Stay ahead with insights from top-tier AI conferences and the latest breakthroughs in LLM research and application.
Join thousands of AI engineers and researchers who rely on our content to build better LLM applications.
Get weekly insights from someone who's been in the trenches, building and scaling LLM applications.