Основи на AI
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
Безплатна AI библиотека
1019 ръководства на обикновен английски език, структурирани пътеки за обучение и отворена библиотека — създадена от независима 501(c)(3) организация с нестопанска цел, така че всеки да може да разбере модерния AI.
Започнете тук
Each course includes explicit outcomes, mapped competencies, practice activities, and an applied capstone.
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
Use AI productively while protecting privacy, checking outputs, and preserving human accountability.
Evaluate workplace use cases, run safe pilots, measure value, and communicate changes responsibly.
Analyze AI systems through rights, equity, governance, safety, and public-interest outcomes.
Understand language models, retrieval, agents, evaluation, cost, and deployment safeguards through practical system design.
Тематични песни
Скочете в района, който ви интересува. Всяка песен има множество ръководства на обикновен английски.
Пълна библиотека
1019 на 1019 показани ръководства. Филтрирайте по песен или потърсете по-горе.
Artificial intelligence (AI) is the field of building computer systems that perform tasks such as recognizing patterns, understanding language, planning…
ОсновиMachine-learning systems learn by adjusting a model using data and a training objective.
ОсновиA neural network is a machine-learning model made of connected mathematical operations with adjustable parameters.
ОсновиDeep learning is a branch of machine learning that uses neural networks with multiple layers to learn representations of data.
ОсновиAI training is the process of adjusting a machine-learning model using examples and a learning objective.
ОсновиInference is using a trained model to produce an output from a new input.
ОсновиData is the recorded information a machine-learning system learns from or processes.
ОсновиA machine-learning model is a mathematical system that maps inputs to outputs using a structure and learned parameters.
Езиков AIA large language model (LLM) is a model trained to work with patterns in language, often by predicting tokens from context.
Езиков AINatural language processing, or NLP, is the study and engineering of systems that work with human language.
Езиков AIA transformer is a neural-network architecture that uses attention to combine information across a sequence.
Езиков AIPrompt engineering is the practice of designing and testing instructions and context for an AI model.
Check what you learned with topic quizzes, then explore our structured courses and current certification requirements. Core guides remain free to read.