I need an experienced large-language-model specialist to set up a lightweight proof-of-concept that shows how an LLM can plug into my current stack. Here’s what I’m after: • A concise technical blueprint outlining the most suitable model (OpenAI GPT, Hugging Face, or comparable) and why it fits my use case. • A small, well-commented Python script or notebook that calls the model, accepts a sample prompt, and returns a response. • Straightforward deployment notes so I can replicate the setup locally or on a basic cloud instance. Keep the solution lean—think “minimum viable demo” rather than a fully polished app. Clear documentation and clean, readable code are more important to me than bells and whistles. If you’ve built quick LLM prototypes with tools like LangChain, FastAPI, or Flask, that’s a plus. I’m ready to start as soon as I find the right expert, and I’m happy to answer any follow-up questions that will help you deliver a smooth, working example.