In this LangChain Crash Course you will learn how to build applications powered by large language models. We go over all important features of this framework.
Timeline:
00:00 - Introduction
01:09 - Installation
01:22 - LLMs
03:08 - Prompt Templates
04:58 - Chains
06:02 - Agents and Tools
09:54 - Memory
11:15 - Document Loaders
12:24 - Indexes
Resources:
Written guide: https://www.python-engineer.com/posts/langchain-crash-course/
Colab: https://colab.research.google.com/drive/1VOwJpcZqOXag-ZXi-52ibOx6L5Pw-YJi?usp=sharing
Docs: https://python.langchain.com/en/latest/
GitHub: https://github.com/hwchase17/langchain
Chatbot example: https://github.com/hwchase17/chat-langchain
Get my Free NumPy Handbook:
https://www.python-engineer.com/numpybook
✅ Write cleaner code with Sourcery, instant refactoring suggestions in VS Code & PyCharm: https://sourcery.ai/?utm_source=youtube&utm_campaign=pythonengineer *
⭐ Join Our Discord : https://discord.gg/FHMg9tKFSN
📓 ML Notebooks available on Patreon:
https://www.patreon.com/patrickloeber
If you enjoyed this video, please subscribe to the channel:
▶️ : https://www.youtube.com/channel/UCbXgNpp0jedKWcQiULLbDTA?sub_confirmation=1
~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~
🖥️ Website: https://www.python-engineer.com
🐦 Twitter - https://twitter.com/patloeber
✉️ Newsletter - https://www.python-engineer.com/newsletter
📸 Instagram - https://www.instagram.com/patloeber
🦾 Discord: https://discord.gg/FHMg9tKFSN
▶️ Subscribe: https://www.youtube.com/channel/UCbXgNpp0jedKWcQiULLbDTA?sub_confirmation=1
~~~~~~~~~~~~~~ SUPPORT ME ~~~~~~~~~~~~~~
🅿 Patreon - https://www.patreon.com/patrickloeber
#Python
----------------------------------------------------------------------------------------------------------
* This is an affiliate link. By clicking on it you will not have any additional costs, instead you will support me and my project. Thank you so much for the support! 🙏