Tutorials
Step-by-step guides to master open source AI models
Getting Started with LLaMA 3
Learn how to set up and run LLaMA 3 models locally
Fine-Tuning Basics
Introduction to fine-tuning open source models
Building a RAG System
Create a Retrieval-Augmented Generation system
Deploying with Docker
Containerize and deploy AI models with Docker
API Integration Guide
Integrate AI models into your applications
Security Best Practices
Secure your AI model deployments
Model Quantization Guide
Reduce model size with quantization techniques
Prompt Engineering Mastery
Master the art of prompt engineering
Multi-GPU Training
Scale training across multiple GPUs
LangChain Integration
Build applications with LangChain
Vector Database Setup
Set up and optimize vector databases
Model Evaluation Techniques
Evaluate and benchmark AI models
Chatbot Development
Build production-ready chatbots
Image Generation Setup
Set up Stable Diffusion and FLUX
Audio Transcription with Whisper
Implement speech-to-text systems
Kubernetes Deployment
Deploy AI models on Kubernetes
Production Monitoring
Monitor AI models in production
Cost Optimization Strategies
Reduce AI infrastructure costs
Working with Embedding Models
Use embeddings for semantic search
Building Multimodal Applications
Combine text, image, and audio models