AI

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 Databases

Learn what vector databases are and how they enable powerful AI features like semantic search and RAG. This guide covers vector embeddings, ANN algorithms like HNSW, and top database options.