Index

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Articles

Speech Recognition

Self-Service AI

Programming Language

Predictive Analytics

Natural Language Understanding (NLU)

Natural Language Processing (NLP)

Natural Language Generation (NLG)

Knowledge Base (KB)

Machine Learning (ML)

Language Model (LM)

Interactive Voice Response (IVR)

Evolutionary Algorithm (EA)

Generative AI Chatbot

Conversational AI

Emergent Behavior

Conversational User Interface (CUI)

Conversational SMS

Machine Translation

Complex Systems Analysis

Content Generation

Speech and Audio Processing

Cognitive Computing

Adversarial Machine Learning

Few-Shot Learning

Zero-Shot Learning

Explainable AI (XAI)

Federated Learning

Transfer Learning

Active Learning

Backpropagation

Gradient Descent

Recall (Sensitivity)

Confusion Matrix

Validation Data

Feature Extraction

Semi-Supervised Learning

Self-Supervised Learning

Diffusion Models

Semantic Search

Attention Mechanism

AGI

Emerging Concepts

A theoretical form of AI that possesses human-level cognitive abilities across all domains.

AI Act

The European Union's comprehensive legislation regulating artificial intelligence systems based on risk levels.

AI Alignment

Ensuring AI systems behave according to human values and intentions, a critical area of AI safety research.

AI Ethics

The study of moral principles and guidelines governing AI development and deployment.

AI Governance

The frameworks, policies, and processes for overseeing AI development, deployment, and use.

AI Leverage

The ability to achieve disproportionate outputs through AI tools and automation, creating exponential productivity gains.

AI-First Workflows

Rebuilding processes from scratch around AI capabilities rather than bolting AI onto existing workflows.

API Rate Limiting

Development Tools

Controlling the frequency of API requests to manage costs and prevent service overload.

AUC

Machine Learning

A single number summarizing binary classifier performance across all threshold settings.

Accuracy

Machine Learning

A metric measuring the percentage of correct predictions made by a machine learning model.

Active Learning

Machine Learning

A machine learning approach where algorithms actively select the most informative data to learn from.

Adversarial Machine Learning

The study of attacks against machine learning systems and defenses to make them more robust.

Agent

Emerging Concepts

AI systems that can take actions and make decisions autonomously to achieve specific goals.

Algorithm

A set of rules or instructions that a computer follows to solve a problem or complete a task.

Amazon Lex

Development Tools

Amazon's cloud service for building conversational interfaces using voice and text.

Anthropic

AI safety company focused on developing safe, beneficial AI systems using constitutional AI methods, creator of Claude.

Artificial Intelligence (AI)

The simulation of human intelligence in machines programmed to think, learn, and make decisions like humans.

Attention Mechanism

A technique that allows AI models to focus on specific parts of input data when making predictions.

BERT

A pre-trained language model that understands context from both directions in a sentence.

Backpropagation

The algorithm used to train neural networks by propagating errors backward through layers.

Bard

AI Applications

Google's original AI chatbot, now rebranded as Gemini.

Batch Size

Machine Learning

The number of training examples processed together in one forward/backward pass.

Bias

Systematic errors or prejudices in AI systems that can lead to unfair or discriminatory outcomes.

Big Data

Extremely large datasets that require specialized tools and techniques to store, process, and analyze.

Black Box

AI systems whose internal decision-making processes are opaque and unexplainable.

CNNs

A type of deep neural network particularly effective for analyzing visual imagery, using convolutional layers to detect features.

ChatGPT

AI Applications

A conversational AI model developed by OpenAI that can engage in human-like text conversations and assist with various tasks.

Chatbot

AI Applications

Computer programs designed to simulate human conversation through text or voice.

Claude

Anthropic's AI assistant family designed for safe, helpful, and honest AI interactions with advanced reasoning capabilities.

Cloud AI

Development Tools

AI services and computations delivered through cloud platforms for scalable access.

Clustering

Machine Learning

A machine learning technique that groups similar data points into distinct clusters.

Cognitive Computing

Emerging Concepts

AI systems designed to simulate human thought processes and reasoning.

Complex Systems Analysis

AI Applications

Using AI to understand and model complex systems with many interconnected components.

Component-Based Architecture

Development Tools

Building applications using reusable, modular components that can incorporate AI features.

Computer Vision

Computer Vision

The field of AI that enables machines to interpret and understand visual information from images and videos.

Confusion Matrix

Machine Learning

A table used to evaluate classification model performance by showing true vs predicted classifications.

Constitutional AI

Training methodology that uses a set of principles to guide AI behavior and reduce harmful outputs.

Content Generation

AI Applications

AI systems that create original text, images, audio, video, or code content.

Context Window

The amount of text an AI model can consider at once when generating responses, measured in tokens.

Conversational AI

AI systems that can hold context-aware, natural conversations with users across multiple turns.

Conversational SMS

AI Applications

Text messaging systems enabling natural two-way conversations between businesses and customers.

Conversational User Interface (CUI)

AI Applications

Interfaces enabling natural language conversations between users and computers.

Data Mining

The process of discovering patterns, correlations, and insights from large datasets using statistical techniques.

Decision Tree

Machine Learning

A tree-like model used for decision-making and conversation flow in AI systems.

Deep Learning

A subset of machine learning using neural networks with multiple layers to learn complex patterns in data.

Deepfake

AI-generated or altered media that convincingly mimics real people, often using GANs.

Diffusion Models

AI Applications

Generative AI models that create content by learning to reverse a noise-adding process.

Dropout

A regularization technique that randomly sets neurons to zero during training to prevent overfitting.

Edge AI

Development Tools

Running AI computations locally on devices rather than in the cloud.

Embedding

Machine Learning

Converting data into numerical vector representations that capture semantic meaning and relationships.

Emergent Behavior

Emerging Concepts

Unexpected capabilities that arise from AI systems beyond their explicit programming.

Epoch

Machine Learning

One complete pass through the entire training dataset during model training.

Evolutionary Algorithm (EA)

An optimization technique inspired by natural selection and evolution.

Explainable AI (XAI)

AI systems designed to provide clear, understandable explanations for their decisions and predictions.

F1 Score

Machine Learning

The harmonic mean of precision and recall, balancing both measures in a single metric.

Feature Extraction

Machine Learning

The process of identifying and selecting the most relevant characteristics from raw data for machine learning.

Federated Learning

Machine Learning

A distributed learning approach that trains models across devices without centralizing data.

Few-Shot Learning

Machine Learning

A machine learning technique that enables models to learn new tasks with only a few training examples.

Fine-tuning

Machine Learning

The process of adapting a pre-trained model to perform well on a specific task or dataset.

Foundation Model

Machine Learning

Large-scale AI models trained on broad datasets that can be adapted for various downstream tasks.

Fuzzy Logic

A computing approach handling degrees of truth rather than binary true/false logic.

GANs

A machine learning architecture with two competing neural networks that can generate realistic content.

GPT

A family of large language models capable of generating human-like text, developed by OpenAI.

GPT-4

OpenAI’s fourth-generation large language model for advanced text and reasoning tasks.

GPT-4o

OpenAI’s multimodal LLM capable of handling text, images, and audio in real time.

Gemini

Google’s multimodal AI model, successor to LaMDA and PaLM, integrating text, code, and images.

Generative AI

AI Applications

AI systems that can create new content such as text, images, audio, or code based on training data.

Generative AI Chatbot

A chatbot that generates unique, contextually relevant responses in real time.

Gradient Descent

Machine Learning

An optimization algorithm that finds the minimum of a loss function through iterative descent.

Grok

xAI’s conversational AI with a candid, less-restricted approach to answering questions.

Grounding

Validating AI outputs against trusted data sources to ensure factual accuracy.

Guardrails

Predefined rules that limit AI actions to ensure safety, ethics, and compliance.

Hallucinate

When AI generates false or nonsensical content with high confidence.

Hallucination

When AI models generate false or nonsensical information that appears plausible but is not based on training data.

Heuristic

A shortcut strategy used to quickly find a satisfactory solution.

Hyperparameter

Machine Learning

Configuration settings that control the learning process of machine learning algorithms.

Intent

The underlying goal or purpose behind a user’s input to an AI system.

Interactive Voice Response (IVR)

An automated phone system that interacts with callers using voice or keypad inputs.

Knowledge Base (KB)

A structured repository of information an AI can use to provide accurate responses.

LLMs

Advanced AI models trained on massive text datasets to understand and generate human-like language.

LaMDA

Google’s conversational AI model optimized for open-ended dialogue.

Language Model (LM)

An AI system trained to predict and generate text based on language patterns.

Large Language Model (LLM)

Machine Learning

AI models trained on vast amounts of text data to understand and generate human-like language.

Loss Function

Machine Learning

A mathematical function measuring the difference between predicted and actual values.

MLOps

Development Tools

Practices for deploying, monitoring, and maintaining machine learning models in production environments.

Machine Learning

Machine Learning

A subset of AI that enables computers to learn and improve from experience without being explicitly programmed.

Machine Learning (ML)

AI that learns from data to improve performance without explicit programming.

Machine Translation

AI systems that automatically translate text or speech from one language to another.

Multimodal AI

AI Applications

AI systems that can process and understand multiple types of data simultaneously.

Narrow AI

AI designed for a specific task, unable to generalize to other domains.

Natural Language Generation (NLG)

AI that generates human-like language from data.

Natural Language Processing

The branch of AI that helps computers understand, interpret, and generate human language.

Natural Language Processing (NLP)

AI that enables computers to understand and respond to human language.

Natural Language Understanding (NLU)

A subset of NLP focused on understanding meaning and intent in language.

Neural Network

A computing system modeled after the human brain's network of neurons, used to recognize patterns and make decisions.

No-Code AI

Development Tools

Platforms that enable AI application development without traditional programming, using visual interfaces and pre-built components.

OpenAI

AI research company behind ChatGPT, GPT-4, and other leading models.

Overfitting

Machine Learning

When a machine learning model learns training data too specifically, performing poorly on new data.

PaLM

Google’s large language model preceding Gemini.

Parameters

Learned values in an AI model that guide its outputs.