Siddhant-Goswami / 100x-LLM

This is my open source project

Project Overview

This project has all the code discussed in the 100x LLM lectures

Installation Guide

Prerequisites

• Python 3.8+
• pip

Creating a Virtual Environment

1. Install virtualenv if not already installed:

   pip install virtualenv

2. Create a new virtual environment:

   virtualenv venv
   source venv/bin/activate

Setup

1. Clone the repository:

   git clone <repository-url>

2. Navigate to the project directory:

   cd <project-directory>

3. Install required packages:

   pip install -r requirements.txt

4. Set up environment variables:
   • Copy .env_example to .env.
   • Add necessary API keys and configuration settings to .env.

Topics

Chat Completions

• OpenAI Chat Completions: Utilizes OpenAI's GPT models for generating chat completions.
• Groq Chat Completions: Uses Groq's API for chat completions.
• Hugging Face Chat Completions: Demonstrates chat completions using Hugging Face models.

Function Calling

• Weather Information: Fetches current weather using OpenAI and Groq APIs.
• Stock Prices: Retrieves current stock prices using OpenAI's API.

Image Classification

• Utilizes Hugging Face's Inference API to classify images provided via URLs.

Data Retrieval

• Custom API built with FastAPI to perform operations like adding numbers and querying data.

File Structure

• chat_completions/: Contains scripts for chat completions using different APIs.
• function_calling/: Scripts for calling functions like fetching weather and stock prices.
• huggingface/: Examples of using Hugging Face's Inference API for tasks like image classification.
• api/: Contains FastAPI applications for custom functionalities.
• data/: Sample data files used in the project.

Additional Notes

• Ensure that all environment variables are correctly set in the .env file before running the scripts.
• Refer to the respective API documentation for detailed usage and limitations:
  • OpenAI Documentation
  • Groq Documentation
  • Hugging Face Models