To build an LLM application, start by learning Python and choosing an LLM API such as OpenAI or another model provider.
Then build a simple workflow: user input → prompt → LLM → response.
For real-world apps, add RAG, vector databases, tool calling, and conversation memory when needed.
Finally, test, evaluate, secure, and deploy your application using a web or cloud platform.
Best learning path: Python → LLM APIs → Prompt Engineering → RAG → AI Agents → Deployment.
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Ramesh Banjade Answered question
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