AI Resources

Accelerate your AI journey with our curated library of cutting-edge resources designed for Ayiti AI Hackathon participants. From next-generation coding assistants to agentic frameworks and enterprise deployment platforms, you’ll find everything needed to build production-ready AI solutions using the most advanced tools of 2025.

Whether you’re coding with Cursor AI, building agentic systems with LangChain, or deploying enterprise-grade RAG applications, these resources will help you grow from beginner to expert AI developer.

Essential Modern AI Tools

Learning Resources

Modern AI Development

Cursor AI DocumentationClaude Code GuideGitHub Copilot Docs

Agentic AI Guides

LangChain DocumentationCrewAI DocumentationAutoGen DocumentationMCP Documentation

Transformer Documentation

Hugging Face Transformers DocsPEFT DocumentationDatasets Documentation

Hands-On Notebooks

Unsloth Fine-Tuning NotebooksLangChain Agent NotebookMakandal Training NotebookDatasets Preparation Guide

Haitian AI Models

Haitian Creole ModelsMakandal Pre-trained ModelHaitian Creole Datasets

Enterprise RAG

RAG Implementation GuideVector Database GuideRAG Evaluation Methods

Specialized Resources

Production Deployment

Docker for AIKubernetes AI DeploymentsTensorFlow Serving

Special Datasets & Tools

Haitian Creole Text DataHugging Face EvaluateInference Providers

Deployment Tools

Gradio DocumentationHugging Face SpacesModel Inference APIs

Enterprise RAG

Enterprise RAG PatternsVector Search OptimizationRAG Evaluation Methods

Key Frameworks & Libraries

  • Cursor AI: AI-first code editor with advanced code generation and debugging capabilities

  • LangChain: Framework for developing LLM applications with chains, agents, and memory

  • CrewAI: Multi-agent framework for orchestrating autonomous AI agents in collaborative workflows

  • Model Context Protocol: Universal protocol for connecting AI assistants to external data and tools

  • Transformers: State-of-the-art machine learning models for text, vision, audio, and multimodal tasks

  • PEFT: Parameter-Efficient Fine-Tuning library for adapting large models without full retraining

  • Unsloth: Optimized fine-tuning with 2x speed improvements and 70% memory reduction

  • Gradio: Build beautiful ML demos and web interfaces with minimal code

  • Datasets: Easy access and sharing of AI datasets for audio, computer vision, and NLP tasks

  • Evaluate: Dozens of evaluation methods for different domains with consistent and reproducible results

Getting Started with Modern AI Development

Step 1

Set Up a Modern Development Environment

Install Cursor AI, set up Claude Code CLI, configure GitHub Copilot, and prepare your tools

Step 2

Master Agentic AI Frameworks

Learn LangChain basics, experiment with CrewAI multi-agent systems, and explore MCP integration

Step 3

Build RAG Systems

Configure vector databases, implement enterprise RAG patterns, and deploy production-ready systems

Step 4

Deploy AI Applications

Use cloud platforms, containerize applications, and scale seamlessly with Kubernetes

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Ayiti AI Hackathon

Ayiti AI Hackathon 2025 | 48-Hour Artificial Intelligence Coding Challenge in Haiti