As the name suggests, generative AIgeneratesimages, music, speech, code, video or text, while it interprets and manipulates pre-existing data. Generative AI is not a new concept: machine-learning techniques behind generative AI have evolved over the past decade. The latest approach is based on...
Let’s take a closer look at foundation models! What are Foundation Models? Understanding Key Concepts Foundation model is a relatively recent term that can overlap with other popular concepts, such as Generative AI, transformer, and large language models (LLMs). Yet the terminology of AI is ...
That’s why — rather than building new models from scratch — many businesses are already customizing pretrained foundation models to turbocharge their journeys into AI, using online services likeNVIDIA AI Foundation Models. The accuracy and reliability of generative AI is increasing thanks to techniq...
Foundation models are expected to make AI projects easier and cheaper for large enterprise companies to execute. Instead of having to spend millions of dollars on high performancecloud GPUsto train a machine learning model, companies can use data that has been pre-trained and focus their attention...
The future of AI is flexible, reusable AI models that can be applied to just about any domain or industry task. Learn more about IBM watsonx, the AI and data platform built for business. The future of AI is flexible, reusable AI models that can be applied to just about any domain or...
Generative AI is a kind of artificial intelligence technology that relies on deep learning models trained on large data sets to create new content.
transformersevolve the encoder-decoder paradigm to enable a big step forward in the way foundation models are trained, and in the quality and range of content they can produce. These models are at the core of most of today’s headline-making generative AI tools, including ChatGPT and GPT-4...
Foundation models, including generative pretrained transformers (which drives ChatGPT), are among the AI architecture innovations that can be used to automate, augment humans or machines, and autonomously execute business and IT processes. The benefits of generative AI include faster product development,...
How to Develop Generative AI Models? There are multiple types of generative models, and combining the positive attributes of each results in the ability to create even more powerful models. Below is a breakdown: Diffusion models:Also known as denoising diffusion probabilistic models (DDPMs), diffus...
Optimism and energy are driving organizations everywhere to investigate generative AI solutions that create efficiencies and drive new business opportunities. Looking ahead, we will likely see new implementations in fields ranging from scientific research to design: ...