An up-to-date, practical comparison of Llama vs. Mistral open‑weight models: architecture, licenses, context windows, modality, and deployment tips.
Build a practical multi‑modal RAG system that retrieves from images and text using OCR, captions, CLIP embeddings, and vector search.
Google’s Gemma 4 lands under Apache 2.0 with edge-ready E2B/E4B and 26B/31B models, agentic features, and top Arena ranks—built to run on your hardware.
Build a multimodal app with the Gemini API: text+image, YouTube video, structured JSON, function calling, and Live API streaming (Python & JS).
A practical, production-ready guide to integrating multi-modal AI APIs—covering architecture, streaming, function calling, safety, cost, and reliability.
