Definitions

An omnichannel chatbot is an AI-enabled chatbot that provides customers with an integrated buying and customer support experience across all channels. The term “omni-channel” refers to the ability of the chatbot to seamlessly switch between these channels while maintaining context […]

Unimodal chatbots are a type of artificial intelligence (AI) systemthat are designed and built to work with one type of dataexclusively. They use algorithms tailored for that modality. Forexample, a unimodal AI system like ChatGPT uses naturallanguage processing (NLP) algorithms […]

A multimodal chatbot is a communication agent that works withmultiple modalities, such as text, voice, face, and body. It isdesigned for interaction with multiple users at a time and canperform tasks such as face detection, emotion classification,tracking of crowd movement […]

A chatbot is a computer program that simulates conversation withhuman users, especially over the internet. It uses natural languageprocessing (NLP) and generative AI to automate responses touser inputs. Chatbots are frequently used by organizations toprovide 24-hour customer relationship management (CRM)services. […]

An AI virtual assistant is a type of conversational AI that usesnatural language processing (NLP) and generative AI to automateresponses to user inputs. It is designed to assist people orautomate tasks by understanding human speech and deducingmeaning, irrespective of how […]

Prompt engineering is a technique in the field of AI that involvescrafting specific instructions or queries to guide an AI system ingenerating responses or creative content. It is the process ofcreating effective prompts that enable AI models to generateresponses based […]

Prompt engineering refers to the process of designing, refining,and optimizing input prompts to guide a generative AI modeltoward producing desired (that is, accurate) outputs. Share this… FacebookGoogle Twitter Linkedin Pinterest Email

The hallucination problem in AI refers to the generation of outputsthat may sound plausible but are either factually incorrect orunrelated to the given context. These outputs often emerge fromthe AI model’s inherent biases, lack of real-world understanding,or training data limitations. […]

Algorithm bias, in the context of artificial intelligence and machinelearning, refers to a systematic and unfair discrimination orfavoritism exhibited by an algorithm when making decisions orpredictions. This bias can result in unjust and discriminatoryoutcomes for specific individuals or groups based […]

Some of the main AI algorithms used to recognize patterns &correlations are: Supervised Learning Algorithms:● Linear Regression: Used for modeling the relationshipbetween a dependent variable and one or more independentvariables.● Logistic Regression: Suitable for binary classification tasks,such as spam detection […]

Artificial Intelligence (AI) algorithms are a set of instructions that enable computers to learn and make decisions independently of human intervention. AI algorithms are more complex than general algorithms and are developed with different goals and methods. They work by […]

LLM stands for large language model and is a type of artificialintelligence system that works with language. LLMs use deeplearning techniques, especially neural networks, to process andlearn from huge amounts of text data. LLMs can perform varioustasks related to natural […]

Generative AI agents are advanced AI systems that use machinelearning and natural language processing to create new content, such as text, images, code, or other types of content, often in response to a prompt entered by a user. They are […]

Unstructured data lack a consistent format or structure (for example, text, images, and audio files) and typically require more advanced techniques to extract insights. Share this… FacebookGoogle Twitter Linkedin Pinterest Email

Self-attention, sometimes called intra-attention, is a mechanismthat aims to mimic cognitive attention, relating different positionsof a single sequence to compute a representation of the sequence.Structured data are tabular data (for example, organized in tables,databases, or spreadsheets) that can be used […]

Foundation models (FM) are deep learning models trained on vastquantities of unstructured, unlabeled data that can be used for awide range of tasks out of the box or adapted to specific tasks through fine-tuning. Examples of these models are GPT-4, […]

A Generative Adversarial Network (GAN) is a deep learning framework that consists of two neural networks: a generator and a discriminator. The generator is trained to produce synthetic data, such as images, text, or audio. It learns to produce realistic […]

Natural language processing (NLP) refers to the branch ofcomputer science -and more specifically, the branch of artificialintelligence or AI- concerned with giving computers the ability tounderstand text and spoken words in much the same way humanbeings can. NLP combines computational […]

Deep learning is a subset of machine learning that involves neuralnetworks with three or more layers. These neural networkssimulate the behavior of the human brain, allowing them to “learn”from large amounts of data. Deep learning algorithms can ingest and process […]

Machine learning (ML) is a subset of AI in which a model gains capability after it is trained on, or shown, many example data points. Machine learning algorithms detect patterns and learn how to make predictions and recommendations by processing […]

Machine learning in advertising is a process in which technologytakes information, analyzes it, and ultimately formulates aconclusion that can improve a task or a process. The insightsderived from this technology can be applied to audience targeting, personalization, media buying, and […]

Machine Learning (ML) is a subfield of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computer systems to improve their performance on a specific task through learning from data, without being explicitly programmed. […]

Human-Aware AI is a term that refers to the development and deployment of artificial intelligence systems that are aware of and adapt to the cognitive possibilities and limitations of the human users, collaborators, or partners. Human-Aware AI aims to achieve […]

Safe AI is a term that refers to the development and deploymentof artificial intelligence systems that operate reliably and aredesigned to minimize potential harm to individuals, society, andthe environment. The importance of safe AI can be understood inthe following ways: […]

Explainable AI is a term that refers to the development anddeployment of artificial intelligence systems that are ethical,reliable, and aligned with the values and interests of the societythey serve. Explainable AI systems should adhere to certainprinciples and standards that ensure […]

Trustworthy AI is a term that refers to the development anddeployment of artificial intelligence systems that are ethical,reliable, and aligned with the values and interests of the societythey serve. Trustworthy AI systems should adhere to certain principles and standards that […]

Real-Time Adaptability in AI, often referred to as Adaptive AI, is aconcept where AI systems are designed to make faster decisionswhile remaining flexible to adjust as issues arise. These systemsaim to continuously learn based on new data at runtime to […]

Visual Artificial Intelligence, is a branch of artificial intelligence thatfocuses on the analysis and interpretation of visual data, such asimages and videos. It involves the use of machine learningalgorithms and deep learning neural networks to identify patterns,classify objects, and extract […]

Emotion AI or affective computing is a subset of artificialintelligence (AI) that measures, understands, simulates, andreacts to human emotions. It is also known as artificial emotionalintelligence. Machines can analyze large amounts of data, such as voice inflections and facial expressions, […]

Conversational AI is a type of artificial intelligence (AI) that cansimulate human conversation. It is made possible by naturallanguage processing (NLP), a field of AI that allows computers tounderstand and process human language. Conversational AIsystems are trained on large amounts […]

Predictive AI is a term that refers to the use of artificial intelligence(AI) to make predictions about future events or outcomes basedon historical data and statistical models. Predictive AI can helpbusinesses and organizations optimize their processes, anticipatecustomer needs, detect anomalies, […]

Generative AI is AI that is typically built using foundation modelsand has capabilities that earlier AI did not have, such as the abilityto generate content. Foundation models can also be used fornongenerative purposes (for example, classifying user sentimentas negative or […]

Generative artificial intelligence (GenAI) is a type of AI thatgenerates images, text, videos, and other media in response toinputted prompts. It uses neural networks to identify patterns inexisting data to generate new content. GenAI can create certaintypes of images, text, […]

Super AI is a term that refers to a hypothetical form of artificial intelligence that is much smarter than the best human minds in almost every field, including scientific, creative, and social abilities. Super AI is also known as artificial […]

Artificial General Intelligence (AGI) is a theoretical form of AI wherea machine would have an intelligence equaled to humans. AGIwould have the ability to perceive, learn, and carry out intellectualtasks in a range of domains, such as natural language processing,reasoning, […]

Narrow AI, also known as weak AI or artificial narrow intelligence (ANI), is a type of artificial intelligence that is designed to perform a single or limited task. It does not mimic complex thought processes or apply knowledge to other […]

Artificial intelligence (AI) essentially refers to the simulation ofhuman intelligence in machines that are programmed to think likehumans and mimic their actions. Although AI often refers to“artificial intelligence,” a more descriptive term for AI could be“augmented intelligence.” Augmented intelligence is […]

Artificial Intelligence (AI) refers to the simulation of humanintelligence in machines, allowing them to perform tasks thattypically require human intelligence. These tasks include learning,reasoning, problem-solving, understanding natural language,recognizing patterns, and adapting to new situations. In essence,AI aims to create computer […]