AI Fundamentals

Artificial Intelligence (AI) enables machines to perform human-like tasks such as learning, reasoning, and decision-making using algorithms and data.

AI Agents are autonomous software entities that perceive, decide, and act to achieve goals, enabling intelligent automation across various applications.

AI Ethics studies moral principles guiding AI development to ensure fairness, transparency, accountability, and respect for human rights in technology.

Agentic AI enables autonomous decision-making, allowing AI systems to act independently and achieve goals by perceiving and interacting with their environment.

An algorithm is a defined sequence of steps or rules to solve problems or perform tasks efficiently in computing and data processing.

Artificial Intelligence enables machines to perform human-like tasks such as learning, reasoning, and problem-solving with advanced algorithms and data...

Autonomous agents are AI-driven software entities that independently perceive, decide, and act to perform tasks without ongoing human control or supervision.

Backpropagation is a key algorithm that trains neural networks by efficiently computing error gradients to optimize model accuracy and learning.

Big Data involves massive, complex data sets processed with advanced tools to reveal insights beyond the scope of traditional databases and analytics.

ChatGPT is a conversational AI model by OpenAI that generates human-like text responses using advanced natural language processing techniques and GPT...

A chatbot is AI-powered software that simulates human conversation to automate interactions using text or voice responses for user support and tasks.

Claude 3.5 Sonnet is an advanced AI language model enhancing text understanding and generation for diverse NLP tasks with improved accuracy and safety.

Claude AI is an advanced large language model by Anthropic designed for safe, natural language understanding and generation tasks across various applications.

Cloud computing delivers scalable IT resources over the internet, enabling flexible, on-demand access to servers, storage, software, and networking.

Computer Vision is an AI field enabling machines to interpret and analyze images or videos, powering tasks like object recognition and scene understanding.

Data Science is the interdisciplinary field that uses data analysis, statistics, and machine learning to extract insights and inform decision-making.

A dataset is a structured collection of related data used for analysis, processing, or training in AI, data science, and computational applications.

Deep Learning is an AI method using multi-layer neural networks to model complex data patterns, enabling advanced recognition and prediction tasks.

DeepSeek is an AI-driven search technology using deep learning to deliver context-aware, precise, and highly relevant search results beyond keyword matching.

Edge AI runs artificial intelligence models on local devices for fast, private data processing without relying on cloud connectivity or centralized servers.

Embeddings are vector representations that convert complex data into numerical form, capturing semantic meaning for AI and machine learning tasks.

Few-shot learning trains AI models to quickly learn new tasks using very limited labeled data, enabling rapid adaptation from just a few examples.

Fine-tuning adapts pre-trained machine learning models to specific tasks by retraining on smaller datasets for faster, accurate results tailored to target...

A GPU (Graphics Processing Unit) is a specialized processor that accelerates image rendering and parallel computation tasks in graphics, AI, and more.