Learn How LLMs Think

Discover the power of agents vs workflows in LLM systems. Learn how agents improvise and workflows optimize for predictable, repeatable tasks.

Discover how LLM tools enhance AI capabilities by defining, choosing, and executing tasks via system prompts.

Discover the context window in AI: input/output tokens, limits, and the "lost in the middle" issue. Optimize token use for better model performance.

Learn how conversations with AI work under the hood. Explore user messages, system prompts, reasoning tokens, and tool calls.

Discover how tokens power LLMs, affecting costs and efficiency. Learn about encoding, decoding, and vocabulary size for optimized text processing.

Discover when to use LLMs for data tasks like structuring and classification, and when to opt for deterministic systems.

Discover the best way to choose the right LLM for your AI app. Learn about open vs closed models, cost, latency, and hosting options.

Discover the basics of Large Language Models (LLM), their structure, operation, and creation process. Perfect for beginners ready to dive into AI.

Explore the top prompt engineering resource of 2025, featuring a detailed taxonomy and links to further research.