Get started

Get started

Bring yourself up to speed with our introductory content.

• What is AgentGPT?

  AgentGPT is a generative artificial intelligence tool that enables users to create autonomous AI agents that can be delegated a range of tasks. Continue Reading

• What is Amazon Bedrock (AWS Bedrock)?

  Amazon Bedrock -- also known as AWS Bedrock -- is a machine learning platform used to build generative artificial intelligence (AI) applications on the Amazon Web Services cloud computing platform. Continue Reading

• What is Google Gemini (formerly Bard)

  Google Gemini -- formerly called Bard -- is an artificial intelligence (AI) chatbot tool designed by Google to simulate human conversations using natural language processing (NLP) and machine learning. Continue Reading

• What is artificial intelligence as a service (AIaaS)?

  Artificial intelligence as a service (AIaaS) is a cloud-based service that enables organizations to access artificial intelligence (AI) through a third-party offering. Continue Reading

• AI readiness: What is it, and is your business ready?

  Artificial intelligence (AI) readiness encompasses all the elements, processes and steps needed to prepare an organization to implement AI systems. Continue Reading

• Definitions to Get Started

  • What is AgentGPT?
  • What is Amazon Bedrock (AWS Bedrock)?
  • What is Google Gemini (formerly Bard)
  • What is artificial intelligence as a service (AIaaS)?

  • AI readiness: What is it, and is your business ready?
  • What is multimodal AI? Full guide
  • What is augmented intelligence?
  • What is a convolutional neural network (CNN)?

  View All Definitions

• What is multimodal AI? Full guide

  Multimodal AI is artificial intelligence that combines multiple types, or modes, of data to create more accurate determinations, draw insightful conclusions or make more precise predictions about real-world problems.Continue Reading

• What is augmented intelligence?

  Augmented intelligence is the use of technology to enhance a human's ability to execute tasks, perform analysis and make decisions.Continue Reading

• What is a convolutional neural network (CNN)?

  A convolutional neural network (CNN) is a category of machine learning model. Specifically, it is a type of deep learning algorithm that is well suited to analyzing visual data.Continue Reading

• Embedding models for semantic search: A guide

  Embedding models in semantic search are changing how we interact with information by going beyond keyword matching to capture meaning and relationships in text and other data.Continue Reading

• What is Gemma? Google's open sourced AI model explained

  Gemma is a collection of lightweight open source generative AI models designed mainly for developers and researchers.Continue Reading

• What is neuro-symbolic AI?

  Neuro-symbolic AI combines neural networks with rules-based symbolic processing techniques to improve artificial intelligence systems' accuracy, explainability and precision.Continue Reading

• What is AI red teaming?

  AI red teaming is the practice of simulating attack scenarios on an artificial intelligence application to pinpoint weaknesses and plan preventative measures.Continue Reading

• What is data poisoning (AI poisoning) and how does it work?

  Data or AI poisoning attacks are deliberate attempts to manipulate the training data of artificial intelligence and machine learning models to corrupt their behavior and elicit skewed, biased or harmful outputs.Continue Reading

• What is Q-learning?

  Q-learning is a machine learning approach that enables a model to iteratively learn and improve over time by taking the correct action.Continue Reading

• What is Fréchet inception distance (FID)?

  Fréchet inception distance (FID) is a metric for quantifying the realism and diversity of images generated by generative adversarial networks (GANs).Continue Reading

• What is Dall-E and how does it work?

  Dall-E is a generative artificial intelligence (AI) technology that enables users to create images by submitting text-based prompts.Continue Reading

• What is computational linguistics? Definition and career info

  Computational linguistics (CL) is the application of computer science to the analysis and comprehension of written and spoken language.Continue Reading

• How to detect AI-generated content

  AI- or human-generated? To test their reliability, six popular generative AI detectors were asked to judge three pieces of content. The one they got wrong may surprise you.Continue Reading

• What is autonomous AI?

  Autonomous artificial intelligence (AI) is a branch of AI in which systems and tools are advanced enough to act with limited human oversight and involvement.Continue Reading

• What is a knowledge graph in ML (machine learning)?

  In the realm of machine learning (ML), a knowledge graph is a graphical representation that captures the connections between different entities.Continue Reading

• What is an AI prompt engineer?

  An AI prompt engineer is an expert in creating text-based prompts or cues that can be interpreted and understood by large language models and generative AI tools.Continue Reading

• What is image-to-image translation?

  Image-to-image translation is a generative artificial intelligence (AI) technique that translates a source image into a target image while preserving certain visual properties of the original image.Continue Reading

• Generative AI vs. predictive AI: Understanding the differences

  Generative AI and predictive AI vary in how they handle use cases and unstructured and structured data, respectively. Explore the benefits and limitations of each.Continue Reading

• What is an AI prompt?

  An artificial intelligence (AI) prompt is the input submitted to a large language model (LLM) via a generative AI platform, like OpenAI's ChatGPT or Microsoft Copilot.Continue Reading

• Hyperparameter tuning techniques to optimize ML models

  Hyperparameters play a key role in shaping how machine learning models learn from data. Learn how adjusting these settings can improve model accuracy and performance.Continue Reading

• How to run LLMs locally: Hardware, tools and best practices

  Local deployments of large language models offer advantages, including privacy, speed and customization -- but organizations need the right tools and infrastructure to succeed.Continue Reading

• What is OpenAI?

  OpenAI is a private research laboratory that aims to develop and direct artificial intelligence (AI) in ways that benefit humanity as a whole.Continue Reading

• What is AI art and how is it created?

  Artificial intelligence art (AI art) is any form of art that has been created or enhanced with AI tools.Continue Reading

• What is face detection and how does it work?

  Face detection, also called facial detection, is a computer technology that identifies human faces in digital images and video.Continue Reading

• What is responsible AI?

  Responsible AI is an approach to developing and deploying artificial intelligence (AI) from both an ethical and legal point of view. The goal of responsible AI is to use AI in a safe, trustworthy and ethical fashion.Continue Reading

• Reduce project expenses with AI cost optimization strategies

  AI projects don't have to break the bank. From open source tools to clever cloud strategies, learn how to keep your AI initiatives efficient and cost-effective.Continue Reading

• What is conversational AI (conversational artificial intelligence)?

  Conversational AI, also known as conversational artificial intelligence, is a type of AI that enables computers to understand, process and generate human language.Continue Reading

• 4 types of AI (artificial intelligence) explained

  Despite the rapid evolution and mind-boggling capabilities of AI tools, AI does not yet possess the general intelligence of humans, let alone ASI. Learn about four levels of AI.Continue Reading

• What is a generative adversarial network (GAN)?

  A generative adversarial network (GAN) is a machine learning (ML) model in which two neural networks compete by using deep learning methods to become more accurate in their predictions.Continue Reading

• Types of AI algorithms and how they work

  AI algorithms can help businesses gain a competitive advantage. Learn the main types of AI algorithms, how they work, and why companies must thoroughly evaluate benefits and risks.Continue Reading

• Interpretability vs. explainability in AI and machine learning

  Understanding how AI models make decisions is challenging, but two concepts -- interpretability and explainability -- can shed light on model outputs.Continue Reading

• How to effectively manage AI projects in 12 steps

  AI is a high priority for companies but results often fall short of expectations. These 12 steps will help you successfully manage AI projects and deliver business value.Continue Reading

• How to create a winning AI strategy for your business

  To deliver real business value, AI projects must be aligned with organizational goals. Here is a 10-step program for developing an effective AI strategy, plus sample templates.Continue Reading

• Artificial intelligence vs. human intelligence: Differences explained

  Artificial intelligence is humanlike. There are differences, however, between natural and artificial intelligence. Here are three ways AI and human cognition diverge.Continue Reading

• What is Gen AI? Generative AI explained

  Generative AI is a type of artificial intelligence technology that can produce various types of content, including text, imagery, audio and synthetic data.Continue Reading

• What is a decision tree in machine learning?

  A decision tree is a flow chart created by a computer algorithm to make decisions or numeric predictions based on information in a digital data set.Continue Reading

• What is AI? Artificial Intelligence explained

  Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems.Continue Reading

• Responsible AI vs. ethical AI: What's the difference?

  Ethical AI establishes principles for AI development and use, while responsible AI ensures they're implemented in practice. Learn how the two differ and complement each other.Continue Reading

• AI parameters: Explaining their role in AI model performance

  What is the correlation between the number of parameters and an AI model's performance? It's not as straightforward as the parameter-rich generative AI apps would have us believe.Continue Reading

• What is embodied AI? How it powers autonomous systems

  Embodied AI refers to artificial intelligence systems that interact with and can learn from their environments using a suite of technologies that include sensors, motors, machine learning and natural language processing.Continue Reading

• What is agentic AI? Complete guide

  Agentic AI refers to artificial intelligence systems that are capable of autonomous action and decision-making.Continue Reading

• The history of artificial intelligence: Complete AI timeline

  From the Turing test's introduction to ChatGPT's celebrated launch, AI's historical milestones have forever altered the lifestyles of consumers and operations of businesses.Continue Reading

• What is linear regression?

  Linear regression is a statistical technique that identifies the relationship between the mean value of one variable and the corresponding values of one or more other variables.Continue Reading

• What is deep learning and how does it work?

  Deep learning is a type of machine learning (ML) and artificial intelligence (AI) that trains computers to learn from extensive data sets in a way that simulates human cognitive processes.Continue Reading

• Explore the role of training data in AI and machine learning

  AI and machine learning models use a variety of learning methods to process and analyze data -- but regardless of how a model is trained, data quality and relevance are crucial.Continue Reading

• What is a neural network?

  A neural network is a machine learning (ML) model designed to process data in a way that mimics the function and structure of the human brain.Continue Reading

• What is an AI accelerator?

  An AI accelerator is a type of hardware device that can efficiently support AI workloads.Continue Reading

• Trustworthy AI explained with 12 principles and a framework

  To be considered trustworthy, AI systems should meet these 12 principles and employ a four-step framework to ensure the use of AI is ethical, lawful and robust.Continue Reading

• What is machine learning bias (AI bias)?

  Machine learning bias, also known as 'algorithm bias' or 'AI bias,' is a phenomenon that occurs when an algorithm produces results that are systemically prejudiced due to erroneous assumptions in the machine learning (ML) process.Continue Reading

• What businesses should know about OpenAI's GPT-4o model

  Enterprise use cases are driving the need for faster AI response times, better data handling and cost optimization. OpenAI attempts to meet that need with GPT-4o.Continue Reading

• What business leaders should know about EU AI Act compliance

  AI compliance expert Arnoud Engelfriet shares key takeaways from his book 'AI and Algorithms,' describing the EU AI Act's effects on innovation, risk management and ethical AI.Continue Reading

• AI model optimization: How to do it and why it matters

  Challenges like model drift and operational inefficiency can plague AI models. These model optimization strategies can help engineers improve performance and mitigate issues.Continue Reading

• What is singularity in technology and AI?

  In technology, the singularity describes a hypothetical future where technology growth is out of control and irreversible.Continue Reading

• What is the Turing Test?

  A Turing Test is a method of inquiry in artificial intelligence (AI) for determining whether or not a computer is capable of thinking like a human being.Continue Reading

• What is natural language processing (NLP)?

  Natural language processing (NLP) is the ability of a computer program to understand human language as it’s spoken and written -- referred to as natural language.Continue Reading

• What is narrow AI (weak AI)?

  Narrow AI is an application of artificial intelligence technologies to enable a high-functioning system that replicates -- and perhaps surpasses -- human intelligence for a dedicated purpose.Continue Reading

• What is natural language generation (NLG)?

  Natural language generation (NLG) is the use of artificial intelligence (AI) programming to produce written or spoken narratives from a data set.Continue Reading

• What is unsupervised learning?

  Unsupervised learning is a type of machine learning (ML) technique that uses artificial intelligence (AI) algorithms to identify patterns in data sets that are neither classified nor labeled.Continue Reading

• neuromorphic computing

  Neuromorphic computing is a method of computer engineering in which elements of a computer are modeled after systems in the human brain and nervous system.Continue Reading

• What is language modeling?

  Language modeling, or LM, is the use of various statistical and probabilistic techniques to determine the probability of a given sequence of words occurring in a sentence. Language models analyze bodies of text data to provide a basis for their word...Continue Reading

• What is artificial general intelligence (AGI)?

  Artificial general intelligence (AGI) is the representation of generalized human cognitive abilities in software so that, faced with an unfamiliar task, the AI system could find a solution.Continue Reading

• expert system

  An expert system is a computer program that uses artificial intelligence (AI) technologies to simulate the judgment and behavior of a human or an organization that has expertise and experience in a particular field.Continue Reading

• AI winter

  AI winter is a quiet period for artificial intelligence research and development.Continue Reading

• How do big data and AI work together?

  Enterprises are leaning on big data to train AI algorithms and, in turn, are using AI to understand big data. The results are pushing business operations forward.Continue Reading

• What is supervised learning?

  Supervised learning is a subcategory of machine learning (ML) and artificial intelligence (AI) where a computer algorithm is trained on input data that has been labeled for a particular output.Continue Reading

• Simplify enterprise AI integration with a centralized AI hub

  For enterprises looking to scale their AI projects, centralized AI hubs and governance can simplify integration, streamline operations and ensure consistency.Continue Reading

• What is a backpropagation algorithm?

  A backpropagation algorithm, or backward propagation of errors, is an algorithm that's used to help train neural network models.Continue Reading

• How to use and run Jupyter Notebook: A beginner's guide

  Learn how to create your first project with Jupyter Notebook, a popular platform for presenting data science and machine learning work with interactive code, text and visuals.Continue Reading

• How and why to run machine learning workloads on Kubernetes

  Running ML model development and deployment on Kubernetes is an absolute must in a world where decoupling workloads can optimize resources and cut costs.Continue Reading

• 15 top applications of artificial intelligence in business

  The use of AI in business applications and operations is expanding. Learn about where enterprises are applying AI and the benefits AI applications are driving.Continue Reading

• Few-shot learning explained: What you should know

  Training data quality and availability aren't always a given in machine learning projects. When data is limited, costly or nonexistent, few-shot learning can help.Continue Reading

• What is regression in machine learning?

  Regression in machine learning helps organizations forecast and make better decisions by revealing the relationships between variables. Learn how it's applied across industries.Continue Reading

• What is anomaly detection? An overview and explanation

  Anomaly detection is the process of identifying data points, entities or events that fall outside the normal range.Continue Reading

• What is machine translation?

  Machine translation technology enables the conversion of text or speech from one language to another using computer algorithms.Continue Reading

• What is adversarial machine learning?

  Adversarial machine learning is a technique used in machine learning (ML) to fool or misguide a model with malicious input.Continue Reading

• What is clustering in machine learning and how does it work?

  Clustering is a data science technique in machine learning that groups similar rows in a data set.Continue Reading

• What is natural language understanding (NLU)?

  Natural language understanding (NLU) is a branch of artificial intelligence (AI) that uses computer software to understand input in the form of sentences using text or speech.Continue Reading

• CNN vs. RNN: How are they different?

  Convolutional and recurrent neural networks have distinct but complementary capabilities and use cases. Compare each model architecture's strengths and weaknesses in this primer.Continue Reading

• What is machine vision?

  Machine vision is the ability of a computer to see; it employs one or more video cameras, analog-to-digital conversion and digital signal processing.Continue Reading

• What is fine-tuning in machine learning and AI?

  Fine-tuning is the process of taking a pretrained machine learning model and further training it on a smaller, targeted data set.Continue Reading

• Machine learning vs. neural networks: What's the difference?

  Though machine learning and neural networks are both forms of AI, neural networks are a specific type of ML algorithm. Learn more about their similarities and differences.Continue Reading

• Machine learning regularization explained with examples

  Regularization in machine learning refers to a set of techniques used by data scientists to prevent overfitting. Learn how it improves ML models and prevents costly errors.Continue Reading

• What is boosting in machine learning?

  Boosting is a technique used in machine learning that trains an ensemble of so-called weak learners to produce an accurate model, or strong learner. Learn how it works.Continue Reading

• Microsoft 365 Copilot features and architecture explained

  Microsoft's new assistant adds generative AI to the workplace, using various features and architectural components for automated suggestions, content creation and data insights.Continue Reading

• What is Bayes' theorem? How is it used in machine learning?

  Bayes' theorem is a mathematical formula used in probability theory to calculate conditional probability, i.e., the revised likelihood of an outcome occurring given the knowledge of a related condition or previous outcome.Continue Reading

• What is reinforcement learning?

  Reinforcement learning (RL) is a machine learning training method that trains software to make certain desired actions.Continue Reading

• How to build the business case for AI initiatives

  Building a compelling business case for AI requires attention to business pain points, financial and risk considerations, and collaboration with the CFO.Continue Reading

• gradient descent

  Gradient descent is an optimization algorithm that refines a machine learning (ML) model's parameters to create a more accurate model.Continue Reading

• Learn how to create a machine learning pipeline

  Well-considered machine learning pipelines provide a structured approach to AI development in modern IT environments, ensuring uniformity, speed and business alignment.Continue Reading

• Attributes of open vs. closed AI explained

  What's the difference between open vs. closed AI, and why are these approaches sparking heated debate? Here's a look at their respective benefits and limitations.Continue Reading

• Generative models: VAEs, GANs, diffusion, transformers, NeRFs

  Choosing the right GenAI model for the task requires understanding the techniques each uses and their specific talents. Learn about VAEs, GANs, diffusion, transformers and NerFs.Continue Reading

• GitHub Copilot vs. ChatGPT: How do they compare?

  Copilot and ChatGPT are generative AI tools that can help coders be more productive. Learn about their strengths and weaknesses, as well as alternative coding assistants.Continue Reading

• large language model operations (LLMOps)

  Large language model operations (LLMOps) is a methodology for managing, deploying, monitoring and maintaining LLMs in production environments.Continue Reading

• Supervised vs. unsupervised learning explained by experts

  Learn the characteristics of supervised learning, unsupervised learning and semisupervised learning and how they're applied in machine learning projects.Continue Reading

• automated machine learning (AutoML)

  Automated machine learning (AutoML) is the process of applying machine learning models to real-world problems using automation.Continue Reading