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Learn to serve LLaVA using vLLM via Python-based offline inference and OpenAI-compatible APIs -- with optimized performance and GPU control.

Learn about the rise of multimodal LLMs, including LLaVA, and why vLLM is the go-to serving framework for fast, OpenAI-compatible vision-language inference.

Fine-tuning Qwen3 for advanced math reasoning using GRPO: boosting precision, structure, and problem-solving accuracy post-training.

Build a deploy-ready BLIP backend using FastAPI and Redis caching to speed up image captioning and reduce redundant inference calls.