This article is an in-depth exploration of the promise and peril of generative AI: How it works; its most immediate applications, use cases, and examples; its limitations; its potential business benefits and risks; best practices for using it; and a glimpse into its future. ...
Generative AI is artificial intelligence that can generate novel content, rather than simply analyzing or acting on existing data. AI (short for artificial intelligence) broadly refers to the idea of computers that can learn and make decisions in a human-like way. Machine learning is asubfield of...
Accenture outlines what generative AI is, why it's important, what opportunities it will unlock, types of generative ai, and much more. Read more.
In a number of areas, AI can perform tasks more efficiently and accurately than humans. It is especially useful for repetitive, detail-oriented tasks such as analyzing large numbers of legal documents to ensure relevant fields are properly filled in. AI's ability to process massive data sets gi...
Withlarge language models (LLMs), for example, the model can infer what word comes next and produce sentences and paragraphs with uncanny accuracy and fluidity. Why Is AI Inference Important? AI inference is important because that recognition is how a trained AI model analyzes and generates insig...
Why is AI growing in popularity? Artificial Intelligence may have entered everyday conversation over the last decade or so but it has been around for decades. The relatively recent rise in its prominence is not by accident. AI technology, and especially machine learning, relies on the availabilit...
Generative AI to the rescue. ChatGPT stands for chatbot generative pre-trained transformer. The chatbot’s foundation is the GPT large language model (LLM), a computer algorithm that processes natural language inputs and predicts the next word based on what it’s already seen. Then...
Generative AI, sometimes calledgen AI,isartificial intelligence(AI) that can create original content—such as text, images, video, audio or software code—in response to a user’s prompt or request. Generative AI relies on sophisticatedmachine learningmodels calleddeep learningmodels—algorithms that...
There are also perceived existential risks, ranging from massive economic and labor market disruption to the potential for AI to discover new pathogens or weapons. But there is still debate as to whether LLMs will be a precursor to an AGI, or simply one architecture in a broader network or ...
What do I need to buy to enable generative AI? What does Gartner predict for the future of generative AI use? Who are the major tech providers in the generative AI market? Is this the start of artificial general intelligence (AGI)?