AI Specializations: An Overview

Artificial Intelligence is a broad field, spanning a wide range of domains, techniques, and applications. This section provides an overview of the key specializations within AI, each with its own unique focus and methodologies.

• Computer Vision (CV): Techniques for interpreting and processing visual data.
• Natural Language Processing (NLP): Methods for understanding and generating human language.
• Reinforcement Learning (RL): Learning by interacting with environments through rewards and feedback.
• Agentic Systems: Frameworks for autonomous AI agents that can perceive their environment, make decisions, and take actions to achieve specific goals.
• Vector Databases: Specialized databases designed to store, manage, and search high-dimensional vectors.

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🗃️ Agentic Systems

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📄️ Vector Stores

Learn what a vector database is and how it powers AI features like semantic search and RAG. This guide covers vector embeddings, ANN algorithms, and top options.