https://github.com/ruvenguna94/langchain-for-llm-application-development
This repository will be used for the code in the deeplearning.ai course for LangChain
https://github.com/ruvenguna94/langchain-for-llm-application-development
ai-application-development ai-frameworks generative-ai langchain large-language-models llm-application-development natural-language-processing prompt-engineering
Last synced: about 2 months ago
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This repository will be used for the code in the deeplearning.ai course for LangChain
- Host: GitHub
- URL: https://github.com/ruvenguna94/langchain-for-llm-application-development
- Owner: RuvenGuna94
- Created: 2025-01-08T06:28:16.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-16T10:42:37.000Z (over 1 year ago)
- Last Synced: 2025-02-13T03:54:44.077Z (over 1 year ago)
- Topics: ai-application-development, ai-frameworks, generative-ai, langchain, large-language-models, llm-application-development, natural-language-processing, prompt-engineering
- Language: Jupyter Notebook
- Homepage:
- Size: 1.24 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# LangChain for LLM Application Development
This repository contains projects, notes, and hands-on exercises from the **LangChain for LLM Application Development** course by [DeepLearning.AI](https://www.deeplearning.ai/short-courses/langchain-for-llm-application-development/). The course focuses on building applications with Large Language Models (LLMs) using the LangChain framework.
## Course Overview
LangChain is a powerful framework for developing LLM applications, enabling tasks like:
- Text generation
- Information retrieval
- Question-answering systems
The course covers key LangChain concepts and practical implementations for building real-world applications.
## Repository Contents
- **Notebooks**: Step-by-step code examples and exercises from the course.
- **Projects**: Custom implementations and projects to solidify understanding.
- **Resources**: Additional notes and links to relevant documentation.
## Getting Started
1. Clone this repository:
```bash
git clone https://github.com/RuvenGuna94/LangChain-for-LLM-Application-Development.git
```
2. Navigate to the repository:
```bash
cd LangChain-for-LLM-Application-Development
```
3. Run the Jupyter notebooks to explore the course materials and exercises.
## Prerequisites
- Python 3.8+
- Basic knowledge of machine learning and LLMs
- Familiarity with Python programming
## License
This repository is for educational purposes. Feel free to use, modify, and share the content, but please acknowledge the original authors where applicable.
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**Stay connected!** Feel free to raise issues or submit pull requests to improve this repository.