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AI Concepts

Understanding AI is essential for building with modern tools. This glossary covers the fundamental concepts behind artificial intelligence, from classic algorithms to cutting-edge large language models.

Whether you're building AI agents in Taskade Genesis, creating automations, or simply want to understand how AI works, this glossary provides clear explanations of key terms and concepts.

Computer Vision

Discover the capabilities of computer vision, an AI technology enabling machines to interpret and process visual data just like humans.

Cognitive Computing

Dive into the world of cognitive computing, where AI meets human-like thinking to enhance decision-making and problem-solving.

Chatbots

Discover the role and impact of chatbots in today's digital interactions, from customer service to personal assistants.

Bias

Explore the nuances of bias in AI systems, including types, impacts, and mitigation strategies.

Autonomous Agents

Autonomous agents are AI systems designed to operate independently, making decisions and performing tasks without human oversight.

Automation

Explore the role of digital automation in accelerating tasks and enhancing productivity through intelligent AI-driven solutions.

Artificial Intelligence (AI)

Explore the basics of Artificial Intelligence (AI), its definitions, applications, and significance in modern technology. Learn how AI influences productivity and the future of automation.

Algorithm

An algorithm is a step-by-step procedure for calculations. Algorithms are used for data processing, automated reasoning, and other tasks.

Why AI Literacy Matters

For Builders: Understanding concepts like neural networks, transformers, and prompt engineering helps you get better results from AI tools and build more effective applications.

For Teams: AI literacy enables better collaboration between technical and non-technical team members, leading to more innovative solutions.

For Business: Knowing AI fundamentals helps you evaluate tools, understand capabilities and limitations, and make informed decisions about AI adoption.

How AI Powers Taskade

Taskade uses multiple AI technologies working together:

Large Language Models (LLMs): Power natural language understanding in AI Agents and Genesis app generation

Neural Networks: Enable pattern recognition, content analysis, and intelligent recommendations

Natural Language Processing: Allows you to describe apps in plain English and have them built automatically

Machine Learning: Continuously improves agent responses and automation effectiveness based on usage

Explore AI Concepts

This glossary covers 38+ AI terms organized by topic:

Foundational Concepts: Algorithm, Artificial Intelligence, Automation, Machine Learning

Neural Networks & Deep Learning: Perceptron, Neural Network, Deep Learning, Transformer

Language & NLP: Natural Language Processing, Large Language Models, Tokenization, Embeddings

Learning Methods: Machine Learning, Reinforcement Learning, Transfer Learning

Advanced Topics: Multi-Agent Systems, RAG, Prompt Engineering, Emergent Behavior

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