AI Agent
agentsAI Agent Definition An autonomous system that can perceive its environment, reason, and take actions to achieve specific …
📖 AI Glossary
Comprehensive glossary of AI, Machine Learning, and Data Science terms.
Ad Space
A
Alignment
ethicsAlignment Definition The field of AI safety research aiming to ensure AI systems’ goals and behaviors match human …
Artificial General Intelligence
ai_coreArtificial General Intelligence Definition Hypothetical type of intelligent agent that can learn any intellectual task …
Attention Mechanism
architectureAttention Mechanism Definition A technique that allows neural networks to focus on specific parts of the input data …
B
Bias
ethicsBias Definition Systematic errors in AI output that result in unfair outcomes, often reflecting prejudices in training …
C
Chain-of-Thought
nlpChain-of-Thought Definition A prompting technique that encourages the model to detail its reasoning process before …
Computer Vision
applicationComputer Vision Definition A field of artificial intelligence that enables computers and systems to derive meaningful …
Context Window
nlpContext Window Definition The amount of text an LLM can process at one time, limiting its memory and ability to …
D
Deep Learning
ai_coreDeep Learning Definition Part of machine learning methods based on artificial neural networks with representation …
E
Embedding
infrastructureEmbedding Definition A vector representation of data (like words) where similar meanings are mapped closer together in …
Epoch
trainingEpoch Definition One complete pass of the training dataset through the algorithm. Detailed Explanation In the world of …
Explainability
ethicsExplainability Definition The extent to which the internal mechanics of a machine or deep learning system can be …
F
Few-Shot Learning
trainingFew-Shot Learning Definition Providing a model with a small number of examples to help it understand the task. Detailed …
Fine-tuning
trainingFine-tuning Definition The process of taking a pre-trained model and training it further on a specific dataset to …
G
Generative Adversarial Network
architectureGenerative Adversarial Network Definition A class of machine learning frameworks designed by Ian Goodfellow and his …
GPU
hardwareGPU Definition Graphics Processing Unit, a specialized electronic circuit designed to manipulate and alter memory to …
H
H100
hardwareH100 Definition Nvidia’s flagship GPU architecture designed specifically for massive AI workloads. Detailed …
Hallucination
nlpHallucination Definition A phenomenon where an AI model generates incorrect or nonsensical information confidently. …
I
Inference
infrastructureInference Definition The process of running a trained model to make predictions on new data. Detailed Explanation In the …
L
Large Language Model
nlpLarge Language Model Definition A type of AI algorithm that uses deep learning techniques and massively large data sets …
Latency
infrastructureLatency Definition The time delay between a request to an AI model and the receipt of its response. Detailed Explanation …
M
Machine Learning
ai_coreMachine Learning Definition Subset of AI focusing on the development of algorithms that can learn from and make …
Multi-Agent System
agentsMulti-Agent System Definition A system composed of multiple interacting intelligent agents solving problems that are …
N
Natural Language Processing
ai_coreNatural Language Processing Definition A branch of artificial intelligence that helps computers understand, interpret …
Neural Network
ai_coreNeural Network Definition Computing systems inspired by the biological neural networks that constitute animal brains. …
O
Overfitting
trainingOverfitting Definition When a model learns the training data too well, including noise, and fails to generalize to new …
P
Parameter
architectureParameter Definition Internal variables of the model that are learned during training (weights and biases). Detailed …
Pre-training
trainingPre-training Definition The initial phase of training a model on a massive dataset to learn general patterns. Detailed …
Prompt Engineering
skillPrompt Engineering Definition The process of structuring text that can be interpreted and understood by a generative AI …
R
Reinforcement Learning
trainingReinforcement Learning Definition An area of machine learning concerned with how intelligent agents ought to take …
Reinforcement Learning from Human Feedback
trainingReinforcement Learning from Human Feedback Definition A technique used to align AI models with human values by using …
Retrieval-Augmented Generation
nlpRetrieval-Augmented Generation Definition An AI framework that retrieves facts from an external knowledge base to ground …
T
Tokenization
nlpTokenization Definition The process of breaking down text into smaller units called tokens (words, subwords, or …
Tool Use
agentsTool Use Definition The capability of an AI model to utilize external tools (like calculators, search engines, or APIs) …
TPU
hardwareTPU Definition Tensor Processing Unit, an AI accelerator application-specific integrated circuit (ASIC) developed by …
Transformer
architectureTransformer Definition A deep learning architecture introduced by Google in 2017 that uses self-attention mechanisms to …
V
Vector Database
infrastructureVector Database Definition A database designed to store and query vector embeddings for efficient similarity search. …
Z
Zero-Shot Learning
trainingZero-Shot Learning Definition The ability of a model to perform a task it wasn’t explicitly trained for. Detailed …
Ad Space