How to manage LLM App Prompts like a Pro ! For your AI Assistant

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In this video, we’re diving deep into prompt management for multimodal LLMs. Whether you're working with images, text, or structured personas, managing prompts effectively is a game-changer for building scalable and maintainable AI applications.

Here’s what you’ll learn:
✅ How to modularize prompts (e.g., chat prompts vs assistant prompts).
✅ Creating personas for specific use cases like a hiring manager providing interview feedback.
✅ Writing reusable and context-aware prompt functions for better efficiency.
✅ Handling different scenarios dynamically – with or without context, files, or templates.

????‍???? Why it matters:
Messy prompt logic can slow you down. Clean, structured prompt management keeps your code DRY, makes debugging easier, and sets the stage for advanced features like database-driven prompt storage.

???? Watch till the end for real-world examples, hands-on coding tips, and practical insights to level up your LLM applications!

GitHub Repository: Find Code here
???? https://github.com/hironate/mastering-gen-ai-with-fast-api-backend

???? Questions or issues? Drop a comment below!
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