👉🏻 Kick-start your freelance career in data: https://www.datalumina.io/data-freela...
This video is an introduction to the Python LangChain library. LangChain is a framework for developing applications powered by language models like OpenAI's GPT-3.5 and GPT-4. I will go over all the modules, provide examples, explain the quick start guide, and then show a demo of an intelligent assistant that can answer questions about any specific YouTube video. You can use LangChain to build your own intelligent systems, similar to Auto-GPT and BabyAGI. I believe there is an amazing opportunity right now for data scientists and AI engineers to become a front-runner using these tools.
🔗 Links
https://github.com/daveebbelaar/langc...
https://python.langchain.com/
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⏱️ Timestamps
00:00 Introduction
00:26 What is LangChain
01:19 Job opportunities
02:55 LangChain's Modules
03:47 Models
05:37 Prompts
06:43 Memory
08:21 Indexes
08:58 Chains
11:06 Agents
14:32 Use Case: YouTube Video Assistant
27:45 Why I am all in on this
28:15 What is Data Freelancer?
👋🏻 About Me
Hey there, my name is @daveebbelaar and I work as a freelance data scientist and coach. You've stumbled upon my YouTube channel, where I give away all my secrets when it comes to working with data. I'm not here to sell you any data course — everything you need is right here on YouTube. Making videos is my passion, and I've been doing it for 18 years. I just genuinely enjoy helping people.
While I don't sell any data courses, I do offer a coaching program for data professionals looking to start their own freelance business. If that sounds like you, head over to https://www.datalumina.io/ to learn more about working with me and kick-starting your freelance career.
Watch video Build Your Own Auto-GPT Apps with LangChain (Python Tutorial) online without registration, duration hours minute second in high quality. This video was added by user Dave Ebbelaar 21 April 2023, don't forget to share it with your friends and acquaintances, it has been viewed on our site 201,972 once and liked it 6.2 thousand people.