A practical guide to integrating an AI writing assistant via API—architecture, prompt design, code samples, safety, evaluation, and performance optimization.
Practical, end-to-end guide to deploying open-source LLMs—from model choice and hardware sizing to serving, RAG, safety, and production ops.
Build a multimodal app with the Gemini API: text+image, YouTube video, structured JSON, function calling, and Live API streaming (Python & JS).
A practical guide to advanced chunking in RAG: semantic and structure-aware methods, parent–child indexing, query-driven expansion, and evaluation tips.
A practical, end-to-end guide to reducing AI hallucinations with data, training, retrieval, decoding, and verification techniques.
A practical guide to the ReAct (Reason + Act) pattern for agentic AI, with design choices, code, safety, and evaluation tips.
