Your comprehensive guide to understanding artificial intelligence. From benchmarks and techniques to research and the mathematics that power modern AI systems.
Understand how AI models are evaluated and compared. From MMLU to HumanEval, learn about standardized tests, ELO ratings, and leaderboards that measure LLM performance.
Master the methods to enhance AI model performance. From prompt engineering to RAG, fine-tuning, and RLHF—learn when and how to apply each optimization strategy.
Explore the different ways AI can perceive and generate content. Text, vision, audio, video—and emerging modalities like touch and brain-computer interfaces.
Dive into the foundational and cutting-edge research shaping AI. From "Attention Is All You Need" to the latest 2025 breakthroughs in reasoning and architecture.
Meet the organizations and researchers driving AI forward. OpenAI, Anthropic, DeepMind, and the brilliant minds behind today's most powerful models.
Build the mathematical foundation for understanding AI. Linear algebra, calculus, probability, and optimization—the essential concepts behind machine learning.
New to AI? Follow this recommended progression to build your understanding from the ground up.
Start with the mathematical foundations. Understanding linear algebra, calculus, and probability is essential for grasping how AI models work.
Read the foundational papers like "Attention Is All You Need" to understand the transformer architecture that powers modern AI.
Learn how AI models are evaluated and compared. Understanding benchmarks helps you assess model capabilities for your use cases.
Master practical methods like prompt engineering, RAG, and fine-tuning to optimize AI for your specific applications.
Put your knowledge into practice. Start building with FullAI's powerful API.