Before starting to learn from this repo Learn Modern Python

Watch Introduction to Generative AI

The OPL Stack stands for OpenAI, Pinecone, and Langchain. It's a collection of open-source tools and libraries that make building and deploying LLMs a breeze.

“AI will be the greatest wealth creator in history because artificial intelligence doesn’t care where you were born, whether you have money, whether you have a PhD,” Higgins tells CNBC Make It. “It’s going to destroy barriers that have prevented people from moving up the ladder, and pursuing their dream of economic freedom.”

It’s already valued at almost $100 billion, and expected to contribute $15.7 trillion to the global economy by 2030.

“It’s not that if you don’t jump on it now, you never can,” Higgins says. “It’s that now is the greatest opportunity for you to capitalize on it.”

A.I. will be the biggest wealth creator in history

Generative AI could add up to $4.4 trillion annually to the global economy

Research Report

Silicon Valley Sees a New Kind of Mobile Device Powered by GenAI

Microsoft CEO: AI is "bigger than the PC, bigger than mobile" - but is he right?

Artificial General Intelligence Is Already Here

Inside the race to build an ‘operating system’ for generative AI

Business intelligence in the era of GenAI

The Convergence of AI and Web3: A New Era of Decentralized Intelligence

What is the potential of Generative AI and Web 3.0 when combined?

How Web3 Can Unleash the Power of Generative AI

1. Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT and other LLMs
2. LangChain Crash Course: Build OpenAI LLM powered Apps
3. Build and Learn: AI App Development for Beginners: Unleashing ChatGPT API with LangChain & Streamlit
4. Generative AI in Healthcare - The ChatGPT Revolution
5. Generative AI in Accounting Guide: Explore the possibilities of generative AI in accounting
6. Using Generative AI in Business Whitepaper
7. Generative AI: what accountants need to know in 2023
8. 100 Practical Applications and Use Cases of Generative AI

LangChain Explained in 13 Minutes | QuickStart Tutorial for Beginners

LangChain Crash Course for Beginners

LangChain Crash Course for Beginners Video

LangChain for LLM Application Development

LangChain: Chat with Your Data

A Gentle Intro to Chaining LLMs, Agents, and Utils via LangChain

The LangChain Cookbook - Beginner Guide To 7 Essential Concepts

Greg Kamradt’s LangChain Youtube Playlist

1littlecoder LangChain Youtube Playlist

Pinecone

https://docs.pinecone.io/docs/quickstart

https://python.langchain.com/docs/integrations/vectorstores/pinecone

LangChain - Vercel AI SDK

https://sdk.vercel.ai/docs/guides/providers/langchain

Using Python and Flask in Next.js 13 API

https://github.com/wpcodevo/nextjs-flask-framework

https://vercel.com/templates/python/flask-hello-world

https://vercel.com/docs/functions/serverless-functions/runtimes/python

https://codevoweb.com/how-to-integrate-flask-framework-with-nextjs/#google_vignette

https://github.com/vercel/examples/tree/main/python

https://github.com/orgs/vercel/discussions/2732

https://flask.palletsprojects.com/en/2.3.x/tutorial/

https://flask.palletsprojects.com/en/2.3.x/

Reference Material:

LangChain Official Docs

LangChain AI Handbook

Top 5 Resources to learn LangChain

Official LangChain YouTube channel

Building Custom Q&A Applications Using LangChain and Pinecone Vector Database

End to End LLM Project Using Langchain | NLP Project End to End

Build and Learn: AI App Development for Beginners: Unleashing ChatGPT API with LangChain & Streamlit

Total Questions: 40

Duration: 60 minutes