How-To Guides
Step-by-step tutorials and playbooks for AI development, deployment, and best practices
Getting Started
Essential guides for beginning your AI development journey
- • Setting up your development environment
- • Choosing the right AI models
- • Data preparation best practices
- • Project structure and organization
Platform Integration
Learn how to integrate with our AI platforms and services
- • NexusCore API integration
- • Neuron CLI usage
- • Grid deployment patterns
- • Authentication and security
Advanced Techniques
Advanced patterns and optimization techniques for production AI
- • Model optimization and quantization
- • Distributed training strategies
- • Production monitoring
- • Performance tuning
Featured Guides
1
Building Your First RAG Application
Complete tutorial on building a Retrieval-Augmented Generation system using our CORE AI components.
Beginner30 min
2
Deploying Models with NexusCore
Step-by-step guide to deploying and scaling AI models using our unified platform.
Intermediate45 min
3
Distributed Training with Grid
Learn how to scale model training across multiple GPUs and nodes for faster convergence.
Advanced60 min
4
Production Monitoring & Observability
Set up comprehensive monitoring for your AI applications in production environments.
Intermediate40 min
Quick Start Templates
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