Explore generative AI, its components, significance, types, working process, training techniques, evaluation metrics, industry applications and future trends.
Discover what artificial intelligence is and explore real-world examples of AI in action. Learn how AI works and its impact on industries today.
When you think of AI (Artificial Intelligence) models, you may automatically think of generative AI like OpenAI’s ChatGPT (a Generative Pre-training Transformer) and Dall-E-2 (the tech startup’s Ai image generator). However, AI models have been used in technology and other fields since t...
Foundation models like GPT and DALL·E that power generative AI solutions belong to the limited memory machines category, too. Even though Gen AI use cases range from responding to customer emails to identifying trends in unstructured data, the technology shares limitations with other types of ...
Examples of Limited Memory AI Generative AI: Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. Virtual assistants and chatbots: Siri, Alexa, Google Assistant, Corta...
First off, the market for AI in marketing is booming. A Precedence Research report shows that the global AI market isexpected to hit $2.6 billion by 2032, with an annual growth rate of 19%. This surge is largely thanks to...
Amid the rapid commoditization of generative AI, there is a growing debate over the rules and regulations, raising questions about creativity, monetization, ethics and more.—Forbes Most artists and art lovershave some level of concern about what AI art generators wi...
and it’s not just text, either. ChatGPT might be writing articles, but tools likeArtiphoria(and many more) are designing images, and there are eventools to compose original music. The possibilities start to feel endless when you consider these and potential other applications of generative AI...
Types of Generative Models Generative models are machine learning tools that you can use to create new data samples resembling your dataset. They come in handy for various applications, such as generating images and text or enhancing your dataset. ...
Today, enterprise interest inapplications of AIare at an all-time high, sparked in recent years bygenerative AI'sability to create content that is nearly indistinguishable in style from human-made content. Even though generative AI has developed rapidly in the last few years, it's still a far...