How to Build Your First AI LLM Prompts with OpenAI and Langchain

Ryan Nolan Data
Ryan Nolan Data
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In this comprehensive tutorial, I guide you through the process of building your first Langchain LLM prompts using OpenAI. Follow along as I demonstrate the following key steps:

Create an OpenAI API Key:
Learn how to set up your OpenAI API key, an essential step for accessing and utilizing the power of OpenAI's language models.

Build a Prompt:
Discover the art of crafting effective prompts for your language models. I'll walk you through the process of creating a prompt tailored to your specific needs.

Use Variables with a Prompt:
Dive deeper into the capabilities of Langchain LLM by incorporating variables into your prompts. Understand how to make your language generation more dynamic and adaptive.

Save a Prompt to JSON:
Explore the importance of saving your prompts for future use. I'll demonstrate how to store your prompts in JSON format, making it easy to retrieve and modify them later.

Basic Prompt Formatting:
Master the basics of prompt formatting to enhance the clarity and efficiency of your language models. Learn tips and tricks for structuring your prompts effectively.

Whether you're a beginner in AI development or looking to expand your skills, this tutorial provides a step-by-step guide to building Langchain LLM prompts with OpenAI. By the end of the video, you'll have a solid understanding of key concepts and practical skills to harness the full potential of language models in your projects. Don't miss out on this opportunity to level up your programming and AI capabilities!

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As a full-time data analyst/scientist at a fintech company specializing in combating fraud within underwriting and risk, I've transitioned from my background in Electrical Engineering to pursue my true passion: data. In this dynamic field, I've discovered a profound interest in leveraging data analytics to address complex challenges in the financial sector.

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7 ماه پیش در تاریخ 1402/10/19 منتشر شده است.
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