models (LLMs). Generative AI’s ability to produce new original content appears to be an emergent property of what is known, that is, their structure and training. So, while there is plenty to explain vis-a-vis what we know, what a model such as GPT-3.5 is actually doing internally—...
What is the difference between predictive and generative AI? Predictive AI models recognize expressed patterns in data and use this information to predict future outcomes. Generative AI models focus on patterns related to how data is created, which allows them to replicate the generative process and...
Generative AI is a specialized AI type that creates new content from its learnings of existing content, a process known as ‘training.’ Post-training, generative AI models employ a statistical model to predict a suitable response to a given prompt, thereby generating new content. An instance o...
What is generative AI? Generative artificial intelligence (AI) is a type of deep learning model that can produce text, images, computer code, and audiovisual content in response to prompts. Generative AI models are trained on vast quantities of raw data — generally, the same kinds of data ...
Generative AI models can carry on conversations, answer questions, write stories, produce source code, and create images and videos of almost any description. Here's how generative AI works, how it's being used, and why it’s more limited than you might think. Credit: Khakimullin Alek...
Generative AI models such as ChatGPT and DALL-E exemplify this capability, showcasing the versatility and ingenuity of generative AI. As generative AI continuously refines its output over time, it becomes increasingly precise and creative.What is the difference between AI and generative AI? What...
AI isn’t on par with human intelligence, but it is phenomenal at what it can do.Generative AI takes AI a step further. It doesn’t just mimic human intelligence; it creates like a human might. This happens using machine learning models. These are like rules that get better over time ...
Unlike traditional AI models, generative AI “doesn’t just classify or predict, but creates content of its own […] and, it does so with a human-like command of language,”explainedSalesforce Chief ScientistSilvio Savarese. Of course, the ability to classify and predict data accurately is a...
Generative AI models can be trained to generatesynthetic data, or synthetic structures based on real or synthetic data. For example, generative AI is applied in drug discovery to generate molecular structures with desired properties, aiding in the design of new pharmaceutical compounds. ...
Generative AI thrives on high-quality data. Without it, even the best AI models will fall short. To build a strong data foundation: Consolidate Data Sources:Ensure data is accurate, relevant, and up-to-date. Utilize Historical Data:For chatbots, leverage data from past interactions, feedback...