AI Knowledge Hub

Official API guides and reference for building AI-powered products.

Prompt engineering techniques and safety-focused guidance.

Guidance for prototyping and shipping with Gemini models.

Comprehensive free course covering modern NLP and LLM foundations.

Practical AI courses on prompting, RAG, agents, and evaluation.

Framework docs for building retrieval, agents, and LLM applications.

Production-focused TypeScript SDK for chat, streaming, and tool calling.

Community-maintained prompt strategy examples and references.

Framework and patterns for evaluating model outputs reliably.

Tracing and evaluation tooling for LLM applications.

Common AI security risks and mitigations for production systems.

Framework for governing and managing AI risk.

Research and guidance on responsible AI development and deployment.

Community benchmark and model comparison leaderboard.

Research papers linked with implementations and benchmarks.

Community newsletter and interviews on applied AI engineering.

Daily AI paper highlights and trend tracking.

Guidelines for safe and helpful model behavior.

Foundational AI literacy course for practical workplace applications.

Hands-on paths for AI concepts, copilots, and responsible AI.

Developer documentation for text generation, embeddings, and search.

Unified API access and routing across multiple model providers.

Open-source observability and evaluation for LLM applications.

Automated evaluation framework for retrieval-augmented generation systems.

High-level compliance orientation for teams shipping AI in the EU.

Internationally recognized policy principles for trustworthy AI.

Practical tutorials and explainers across applied AI workflows.

Community and curriculum for shipping ML and AI systems.