AI Handbooks
Browse our collection of comprehensive AI handbooks covering various domains and technologies.
Generative AI
Systems that create text, images, music, and code through AI techniques.
Foundation Models
Large-scale AI models trained on diverse data for many tasks.
Computer Vision
How AI systems process and understand visual information.
Reinforcement Learning
How AI agents learn through interaction with environments.
Machine Learning
Algorithms that enable computers to learn from data.
Deep Learning
Neural network architectures that power modern AI systems.
Large Language Models
Neural networks trained to understand and generate language.
MLOps
Deploying and managing ML models in production.
Explainable AI (XAI)
Understanding and interpreting AI decision-making.
Federated Learning
Training models across decentralized devices while preserving privacy.
Multimodal AI
Systems that process and connect multiple types of data inputs.
Recommender Systems
AI systems that suggest relevant items to users.
Robotics & AI
How AI systems power and control physical robots.
Self-Driving Cars
AI technologies enabling autonomous vehicle navigation.
Audio AI
AI systems for speech recognition, audio generation and processing.
Bayesian Machine Learning
Probabilistic approaches to ML using Bayesian inference.
Efficient AI & Optimization
Techniques to make AI systems faster and more resource-efficient.
Graph Neural Networks
Neural networks designed to work with graph-structured data.
Representation Learning
Methods for learning useful data representations without supervision.
Self-Supervised Learning
Learning from unlabeled data using automatically generated supervision.
Time Series Forecasting
AI methods for predicting future values based on past observations.
AI Ethics & Fairness
Ensuring AI systems are fair, accountable, and transparent.
AI for Art & Aesthetics
How AI systems create and evaluate visual art and design.
AI for Edge & IoT
Deploying AI on resource-constrained devices and IoT networks.
AI in Finance
Applications of AI in financial markets and institutions.
AI in Healthcare
How AI is transforming medical diagnosis, treatment, and research.
AI Agents
Exploring autonomous AI systems that can perceive, decide, and act independently.
Prompt Engineering
Mastering the art and science of crafting effective prompts for language models.
Quantum ML
The intersection of quantum computing and machine learning algorithms.
How to Use These Handbooks
Start with Fundamentals
Begin with the introductory sections to build a solid foundation.
Explore Techniques
Dive into specific techniques and architectures that interest you.
Try Applications
Apply your knowledge to practical use cases and projects.
Coming Soon:
- AI Agents Handbook - Building autonomous systems for complex tasks
- Prompt Engineering Handbook - Master the art of effective AI communication
- Quantum ML Handbook - Exploring computational advantages of quantum systems
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