https://github.com/lazauk/deeplearningai-langchain-appdevelopment
Practical Jupyter notebooks from Andrew Ng and Harrison Chase's "LangChain for LLM Application Development" course on DeepLearning.AI.
https://github.com/lazauk/deeplearningai-langchain-appdevelopment
andrew-ng-course harrison-chase-course langchain machine-learning openai
Last synced: 4 months ago
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Practical Jupyter notebooks from Andrew Ng and Harrison Chase's "LangChain for LLM Application Development" course on DeepLearning.AI.
- Host: GitHub
- URL: https://github.com/lazauk/deeplearningai-langchain-appdevelopment
- Owner: LazaUK
- Created: 2023-08-05T22:02:03.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-08-06T16:12:42.000Z (almost 2 years ago)
- Last Synced: 2024-11-13T00:19:53.858Z (6 months ago)
- Topics: andrew-ng-course, harrison-chase-course, langchain, machine-learning, openai
- Language: Jupyter Notebook
- Homepage:
- Size: 342 KB
- Stars: 8
- Watchers: 1
- Forks: 5
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# LangChain for LLM Application Development
Andrew Ng and Harrison Chase (LangChain CEO) released great course called ["LangChain for LLM Application Development"](https://learn.deeplearning.ai/langchain) on DeepLearning.AI site.
I've followed on-screen instructions to re-create their practical Jupyter notebooks and then adapted the code to run against Azure OpenAI service, as it has slightly different syntax in comparison to the original OpenAI endpoints:
1. Models, Prompts and Output Parsers;
2. Memory;
3. Chains;
4. Questions & Asnwers;
5. Agents.