AI Course Terms
AI Terms to Know
What is Artificial Intelligence?
AI is the simulation of human intelligence in machines that are programmed to think and learn like humans. AI systems can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.
What is Generative AI?
Generative AI refers to systems that can create new content such as text, images, audio, or video using machine learning models trained on large datasets. The name "generative" means they can generate new outputs that aren't just copies of the input. They excel at handling sequential data, especially in Natural Language tasks.
What is an AI Model?
An AI model is a program trained to recognize patterns in data and make decisions or predictions.
What is an AI Prompt?
An AI prompt is input text or data given to an AI system to instruct it to perform a specific task or generate a specific kind of output.
What is a Prompt Template?
A prompt template is a structured format used to generate consistent and useful prompts for AI systems.
What is Deep Learning? DeepSeek?
Deep learning is a type of machine learning that uses neural networks with many layers to model complex patterns in large amounts of data. DeepSeek is a family of open-source large language models that apply deep learning techniques to text generation and understanding.
What is ChatGPT? Gemini?
ChatGPT is an AI chatbot developed by OpenAI that uses large language models to generate responses. Gemini is Google's family of AI models for tasks similar to ChatGPT.
What is a Neural Network?
A neural network is a computing system inspired by the human brain's structure, used for recognizing patterns and making decisions. These networks can learn to recognize patterns and make decisions by adjusting the strength of connections between neurons. A neural net can "learn" from its experience. For example, you train a neural net that plays Tic-Tac-Toe by playing games against it, and it learns how to play.
What is an LLM (Large Language Model)?
A type of AI model trained on vast amounts of text data to understand and generate human-like language. These models can perform various language tasks such as translation, summarization, and conversation.
What is a hallucination?
In the AI world, a hallucination is basically a lie, something the AI got wrong. The AI is designed to create output, and so it will, good or bad. You should verify everything you can about the AI's answer. You can ask it to provide its sources, or explain its reasoning.
What is machine Learning (ML)?
A subset of AI that enables computers to learn and improve from experience without being explicitly programmed. Machine learning algorithms build mathematical models based on training data to make predictions or decisions.
What is Reinforcement Learning?
An area of machine learning where agents learn to make decisions by performing actions and receiving feedback in the form of rewards or penalties.
What is Supervised Learning?
A type of machine learning where the model is trained on labeled data, meaning each input is paired with the correct output.
What is Unsupervised Learning?
A type of machine learning that finds hidden patterns or intrinsic structures in input data that is unlabeled.
What is Generative Adversarial Network (GAN)?
A class of machine learning frameworks where two neural networks contest with each other to produce data that is indistinguishable from real data.
What is a Transformer?
Note that the last "T" in "ChatGPT" stands for Transformer. A Transformer is a type of deep learning model that excels at handling sequential data, especially in Natural Language tasks.
What is Big Data?
Extremely large datasets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions. Big Data is crucial for training effective AI models.
What is overfitting?
A modeling error that occurs when a function is too closely aligned to a limited set of data points. This can cause the model to perform well on training data but poorly on new, unseen data.
What is Underfitting?
A modeling error that occurs when a model is too simple to capture the underlying patterns in the data. This leads to poor performance on both training and new data.
What is Supervised Learning?
A type of machine learning where algorithms learn from labeled training data, meaning the input data comes with known correct answers. The system learns to map inputs to outputs based on these examples.
What is Unsupervised Learning?
A machine learning approach where algorithms find patterns in data without being given labeled examples. The system identifies hidden structures in data where the correct answers are not provided.
What is Reinforcement Learning?
A type of machine learning where an agent learns to make decisions by performing actions in an environment and receiving rewards or penalties. The system learns through trial and error to maximize cumulative rewards.
What is Prompt Engineering?
The practice of designing and refining input prompts to effectively communicate with AI systems, particularly language models, to achieve desired outputs or behaviors.