A practical, end-to-end guide to detecting and mitigating hallucinations in LLM outputs, from uncertainty signals to retrieval-based verification.
A practical guide to designing, implementing, and governing AI chatbot personality customization—traits, prompts, memory, guardrails, and evaluation.
A practical guide to multi‑turn conversational AI: architecture, memory, grounding, safety, and evaluation patterns for reliable, scalable assistants.
Under siege and in demand: How Anthropic CEO Dario Amodei is reshaping AI policy, product strategy, and geopolitics in 2026.
A practical blueprint for preventing prompt injection in LLM apps: threat models, mitigations, code patterns, testing, and operations.
A practical tutorial on reasoning models and chain-of-thought: safe prompting, self-consistency, tree-of-thought, tooling, and evaluation patterns.
