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

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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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WHO AM I?
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.

This YouTube channel serves as both a platform for sharing knowledge and a personal journey of continuous learning. With a commitment to growth, I aim to expand my skill set by publishing 2 to 3 new videos each week, delving into various aspects of data analytics/science and Artificial Intelligence. Join me on this exciting journey as we explore the endless possibilities of data together.

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Hey guys I hope you enjoyed the video! If you did please subscribe to the channel!


*Both Datacamp and Stratascratch are affiliate links.

RyanAndMattDataScience
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As someone with no coding experience, I very much appriciate this video. It was one of the few tutorials that I was able to complete while still making sense of the code. Looking forward to what's next!

chrisking
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Video #2 in the series: Zero, One, and Few Shot Prompting with Langchain and OpenAI LLMs

RyanAndMattDataScience
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This video is very detailed yet easy to follow! Thank you so much for uploading the video!

jungwonkim
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great job with the video man. keep it up!

hirealgore
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I like to understand the basic but important mechanism under fancy things. Thnx

stanTrX
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Can you please share the notebook, not able to find in your github portal

maheshkumar-bjci
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Do I need a chatgpt 4 that ? Cause I am trying to re-do your code using my API_Key but ended up getting Error code: 429 - {'error': {'message': 'You exceeded your current quota, please check your plan and billing details. I am pretty sure I never created/used a API Key before. Thanks !!

aliozcankures
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QQ, why most tutorials that people use langchain they do not use vscode as IDE?

tony
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Btw i didnt understand the function part

stanTrX
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Is there supposed to be a link to the Notebook?

Belgriffinite
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