https://github.com/mahikshith/llm-generative-ai-projects

Repository that contains projects I made using Large Language Models
https://github.com/mahikshith/llm-generative-ai-projects

Last synced: about 2 months ago
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Repository that contains projects I made using Large Language Models

• Host: GitHub
• URL: https://github.com/mahikshith/llm-generative-ai-projects
• Owner: mahikshith
• Created: 2024-10-28T10:25:31.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-10-28T10:58:45.000Z (2 months ago)
• Last Synced: 2024-10-28T13:50:11.771Z (2 months ago)
• Language: Jupyter Notebook
• Size: 6.82 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# LLM-Generative-AI-projects

### *Click on the above project folder to know more about individual projects in detail*

> This repository showcases a collection of projects that leverage the power of Large Language Models (LLMs) and generative AI to solve real-world problems. Each project demonstrates the potential of AI to revolutionize various industries.

Key Technologies and Tools:

    LLMs: Gemini 1.5 pro, flash , hugging face models to develop genai applications

    RAG (Retrieval Augmented Generation): A technique for enhancing LLM performance by incorporating external knowledge sources like tabular data , pdfs, text etc.

    Python: Core programming language for data analysis, machine learning, and web scraping

    Flask: Web framework for building web applications

    Postman : To test the web api

    Streamlit: To show case the product to POC

    Docker: Containerization platform for packaging and deploying applications with ease

    AWS: Deployed applications on AWS EC2 , ECS