Table of Contents

Tutorials

Step-by-step guides to help you master AiDotNet.

Tutorial Categories

Category Description
Classification Binary and multi-class classification
Regression Predicting continuous values
Clustering Grouping similar data points
Computer Vision Object detection, image classification, OCR
NLP & RAG Text processing and retrieval-augmented generation
Audio Processing Speech recognition, text-to-speech
Reinforcement Learning Training agents through rewards
Time Series Forecasting and anomaly detection
LLM Fine-tuning LoRA, QLoRA, and efficient fine-tuning
Distributed Training Multi-GPU and multi-node training
Deployment Production model serving

Learning Path

Beginner

  1. Getting Started - Installation and first model
  2. Classification - Learn the fundamentals
  3. Regression - Predict continuous values

Intermediate

  1. Computer Vision - Image understanding
  2. NLP & RAG - Text processing
  3. Time Series - Temporal data

Advanced

  1. LLM Fine-tuning - Customize language models
  2. Distributed Training - Scale to multiple GPUs
  3. Deployment - Production deployment
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