Developer Documentation

Comprehensive guides, API references, and best practices for AI Dino developers and researchers

Getting Started

Installation

Quick install instructions for our AI framework and tools. 

npm install @ai-dino/core

First Project

Create your first AI model using our intuitive API. 

import { AIModel } from '@ai-dino/core'

const model = new AIModel()
model.train(data)
model.predict(input)

Developer Guides

Master our platform through structured documentation and code samples

Core Concepts

Understand fundamental principles of AI Dino architecture and components

  • Model architecture foundations
  • Neural network optimization
  • Data pipeline patterns
Read more →

API Reference

Detailed documentation of our machine learning APIs and tools

  • @ai-dino/core: Base model functionality
  • @ai-dino/vision: Computer vision extensions
  • @ai-dino/nlp: Natural language processing tools
View API Docs →

Tutorials & Examples

Real-world implementation guides for common use cases

Image Classification

Build a computer vision system using our state-of-the-art models

View Tutorial →

Natural Language Processing

Implement language models for text generation and analysis

View Tutorial →

Model Optimization

Techniques for improving model performance and efficiency

View Tutorial →

Best Practices

Industry-proven methodologies for effective AI development

Data Preparation

  • Ensure representative data distributions
  • Apply necessary feature engineering
  • Monitor for data leakage

Model Deployment

  • Use production-ready serving tools
  • Monitor model performance metrics
  • Implement robust error handling

Need Help With Your Project?

Get expert guidance on implementing AI solutions with our team of researchers and engineers

Contact Our Experts