Developing LLM Apps with LangChain
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Harry Potter

Harry Potter

May 28, 2024

Developing LLM Apps with LangChain

LLMs are great at answering questions about data they've been trained on...but what if you want to ask it questions about data it hasn't been trained on? One of the best ways to do this is inputting the information into the model using tools like LangChain and Pinecone. And that's exactly what this project will teach you from scratch!

Why Learn LangChain?

LangChain is an open-source framework that allows developers working with AI to combine large language models (LLMs) like GPT-4 with external sources of computation and data.

It makes it easy to build and deploy AI applications that are both scalable and performant. LangChain is a great entry point into the AI field for individuals from diverse backgrounds and enables the deployment of AI as a service. It has a virtually infinite number of practical use cases!

Why Learn Pinecone?

Pinecone is a cutting-edge vector database designed specifically for machine learning and AI applications.

It enables developers and data scientists to efficiently store, manage, and search through large volumes of high-dimensional vector data, which is often generated by AI models like deep learning algorithms.

By learning Pinecone, you gain the capability to build advanced search, recommendation, and personalization systems that can handle complex queries and return highly relevant results in real-time.

This technology is crucial for anyone looking to build AI applications!

Wait... What's a Project?

One of the most common things we hear from students is: "I want to build more projects!".

We love hearing that, because building projects is really the best way to learn. And unique, challenging projects can really make your portfolio stand out for potential employers.

But also...it just feel so good when you actually build something real!

That's why we've created ZTM Projects. A collection of comprehensive portfolio and practice projects that you can use to advance your knowledge, learn new skills, build your portfolio, and sometimes even just have fun!

What Else Should I Know?

By becoming a ZTM member you'll not only get access to all our courses, bytes, and projects.

But you’ll also get to join our exclusive live online community classroom to learn alongside thousands of students, alumni, mentors, TAs and Instructors.

Most importantly, you'll be learning from an industry professional (Andrei) that has actual real-world experience with LangChain and Pinecone. He teaches you the exact information he uses in his role.

Finally, as with all ZTM courses, this course is a living thing. It will be constantly updated as the landscape changes so you can use it as your go-to resource for learning LangChain and Pinecone now and throughout your career.

Join 1,000s of Zero To Mastery graduates that have gotten hired and are now working at companies like Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, Shopify + other top tech companies.

They come from all different backgrounds, ages, and experiences. Many even started as complete beginners.

So there's no reason it can't be you too.

And you have nothing to lose. Because you can start learning right now and if this course isn't everything you expected, we'll refund you 100% within 30 days. No hassles and no questions asked.

Course curriculum

Here's an overview of what you learn in this LangChain course.

1. Introduction - 5 lectures

2. Deep Dive into LangChain - 14 lectures

3. LangChain and Vector Stores (Pinecone) - 9 lectures

4. Project: RAG - Q&A Application on Your Private Documents (Pinecone & Chroma) - 11 lectures

5. Where To Go From Here? - 2 lectures

WHAT YOU'LL LEARN

  • How to integrate external data sources, including books and documents, into LLMs like GPT for enhanced question-answering capabilities beyond their initial training data
  • The fundamentals of building LLM-powered applications using the LangChain framework, enabling you to harness the full potential of AI in custom projects
  • Techniques for leveraging Pinecone and OpenAI with Python to create sophisticated Q&A applications, enhancing your technical skill set and understanding of modern AI tools
  • Step-by-step guidance on deploying scalable and performant AI applications, preparing you to create a portfolio-worthy project in just 3 hours

Prerequisites:

  • Basic knowledge of Python

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Harry Potter

Harry Potter

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