LangChain: Prompt Templates & Output Parsers for Production AI

Stop hardcoding your prompts and start building professional AI applications. In this video, we explore two of the most critical features in LangChain: Prompt Templates and Output Parsers.

We take you from the "blueprints" of a prompt to getting structured, usable data back from your LLM:

What are Prompt Templates? Think of them as the "Mad Libs" for AI—learn how to create reusable blueprints with dynamic placeholders.

3 Essential Template Types: We break down Basic Templates, Chat Templates, and Few-Shot Learning to give your models the best possible context.

The Magic of Output Parsers: Moving beyond simple text—learn how to use Pydantic models and Structured Output Parsers to get clean, reliable data for your apps.

Building a Production Workflow: Watch us combine templates and parsers to build a real-world use case that's ready for deployment.

Best Practices: Tips for building robust, dynamic, and efficient AI workflows.

Whether you're building a data extraction tool, a complex chatbot, or an automated agent, mastering these two concepts is essential for any AI developer.

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