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Getting Started With Langchain | ChatGPT Python Agents With Web Search Capabilities
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This video is about Langchain: A powerful framework for combining Large Language Models (LLM) like ChatGPT/GPT4 with tools like web search, mathematical calculations, and other integrations. All this can be done programmatically to build even more powerful tools than what we have seen so far.
Join me for this video to see how easy it is to get started with Langchain, using a Jupyter notebook, and gain more power with just five lines of code, than what you would ever see if you were just using the ChatGPT user interface. This is an awesome getting-started-level introduction video to Langchain. Advanced deep dives are to be done later.
And as always if you like the video, click that like-button, leave a comment, and share it with your friends and colleagues. And of course, subscribe to my channel for more. There's always going to be some awesome software development/machine learning kind of content in the future. Also, let me know how you liked this video in the comments section!
Looking for the code? Pretty much all the examples I show here can be found in Langchain documentation, so you can download them and play with them for yourself. Tip: Documentation pages are all Jupyter Notebooks, there's a download button in the top right corner. :)
Here are some further links mentioned in the video:
Join me for this video to see how easy it is to get started with Langchain, using a Jupyter notebook, and gain more power with just five lines of code, than what you would ever see if you were just using the ChatGPT user interface. This is an awesome getting-started-level introduction video to Langchain. Advanced deep dives are to be done later.
And as always if you like the video, click that like-button, leave a comment, and share it with your friends and colleagues. And of course, subscribe to my channel for more. There's always going to be some awesome software development/machine learning kind of content in the future. Also, let me know how you liked this video in the comments section!
Looking for the code? Pretty much all the examples I show here can be found in Langchain documentation, so you can download them and play with them for yourself. Tip: Documentation pages are all Jupyter Notebooks, there's a download button in the top right corner. :)
Here are some further links mentioned in the video:
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