A practical tutorial on reasoning models and chain-of-thought: safe prompting, self-consistency, tree-of-thought, tooling, and evaluation patterns.
Hands-on guide to reliable, secure tool calling for AI agents: architecture, schemas, control loops, error handling, observability, and evaluation.
A Fortune-confirmed leak reveals Anthropic testing “Claude Mythos,” a new tier above Opus with major cyber gains—and risks—now under tight early access.
A practical, end-to-end guide to reducing AI hallucinations with data, training, retrieval, decoding, and verification techniques.
AGI in 2026: funding surges, compute scales, rules diverge. Where capabilities truly are—and what to watch next.
A practical guide to the ReAct (Reason + Act) pattern for agentic AI, with design choices, code, safety, and evaluation tips.
