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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Code snippets and examples from the 100x Applied AI cohort lectures.
| Date | Stars |
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| 2026-07-31 | 569 |
| 2026-08-04 | 572 |
| 2026-08-06 | 572 |
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# 100x Applied AI - Complete Learning Guide Welcome to the 100x Applied AI repository! This is a comprehensive resource for learning and implementing Large Language Model (LLM) & Agentic applications. Whether you're a complete beginner or looking to enhance your AI engineering skills, this guide will help you navigate through practical implementations. ## Table of Contents - [What is this Repository?](#what-is-this-repository) - [Who is this for?](#who-is-this-for) - [Prerequisites](#prerequisites) - [Quick Start Guide](#quick-start-guide) - [Repository Structure](#repository-structure) - [Learning Path](#learning-path) - [Example Projects](#example-projects) - [Troubleshooting](#troubleshooting) - [Contributing](#contributing) --- ## What is this Repository? This repository contains **140+ practical implementations** from the 100x Applied AI cohort, covering: - **Full-Stack AI Applications**: Build complete AI-powered applications - **Prompt Engineering**: Master the art of communicating with AI models - **Tool Calling**: Connect LLMs to external tools and APIs - **RAG (Retrieval Augmented Generation)**: Build AI systems that can search and use your own data - **LLM Workflows**: Learn how to orchestrate AI models for complex tasks - **AI Agents**: Create autonomous AI systems that can reason and take actions **Key Technologies**: OpenAI, Groq, Hugging Face, LlamaIndex, FastAPI, Streamlit --- ## Who is this for? - **Beginners**: Each section includes detailed explanations and step-by-step guides - **Developers**: Ready-to-use code snippets and API implementations - **AI Enthusiasts**: Learn modern AI patterns and best practices --- ## Prerequisites ### Required Knowledge - **Basic Python**: Understanding of functions, classes, and modules - **Command Line**: Basic terminal/command prompt usage - **APIs (Optional)**: Helpful but not required ### Required Software - **Python 3.8 or higher** ([Download here](https://www.python.org/downloads/)) - **pip** (comes with Python) - **Git** ([Download here](https://git-scm.com/downloads)) - **Text Editor** (VS Code, Cursor, PyCharm etc) ### Required API Keys You'll need at least one of these (most have free tiers): - **OpenAI API Key** ([Get it here](https://platform.openai.com/api-keys)) - Most examples use this - **Groq API Key** ([Get it here](https://console.groq.com/)) - Free and fast alternative - **Hugging Face Token** ([Get it here](https://huggingface.co/settings/tokens)) - For open-source models --- ## Quick Start Guide ### Step 1: Clone the Repository ```bash # Open your terminal and run: git clone https://github.com/Siddhant-Goswami/open-source-project.git cd open-source-project ``` ### Step 2: Set Up Python Environment ```bash # Create a virtual environment (keeps dependencies isolated) python -m venv venv # Activate the virtual environment # On Mac/Linux: source venv/bin/activate # On Windows: venv\Scripts\activate # You should see (venv) in your terminal now ``` ### Step 3: Install Dependencies ```bash # Install all required packages (this may take a few minutes) pip install -r requirements.txt ``` ### Step 4: Set Up Environment Variables ```bash # Create your environment file cp .env_example .env # Open .env in your text editor and add your API keys: # OPENAI_API_KEY=sk-your-key-here # GROQ_API_KEY=your-groq-key-here # HUGGINGFACE_API_KEY=your-hf-key-here ``` ### Step 5: Test Your Setup ```bash # Try running a simple example python llm_workflows/prompt_chaining.py ``` If you see output without errors, congratulations! You're ready to start learning. --- ## Repository Structure ### 1. **Full-Stack Applications** (`llm_full_stack/`) Complete applications combining AI with web interfaces. Start here to see how everything comes together! **What you'll learn:** - Building APIs with FastAPI - Creating UIs with Streamlit and Gradio - Authentication (Auth0 integration) - Email integration - Database management **Available Apps:** - `ai_crm/` - AI-p
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:f876b20bdff7c95c, llm:Repository contains code snippets and examples from an applied AI cohort (100x Applied AI) — educational materials and example code.