Generative AI has hit the ground running—so fast that it can feel hard to keep up. Here’s a quick take pulled from our top articles and reports on the subject.
Generative AI Models What Are the Applications of Generative AI? Benefits of Generative AI Limitations of Generative AI Generative AI Risks and Concerns Generative AI Examples Generative AI Tools History of Generative AI Future of Generative AI Easily Adopt Generative AI with Oracle Generative AI FAQs...
We're currently upgrading our SAP infrastructure from ECC to S4 and we're discussing 3rd party solutions for storing the legacy ECC data that we don't migrate until the end of it's retention period. Ideally the solution would have a reporting layer as a feature and the facility to integrat...
Those models are looking at new ways around data, such as data repetition, data augmentation, synthetic data on top of merging generative AIwith reinforcement learning. Repetitive data helps LLM to learn the content structure and patterns more effectively, but there is clearly a risk that duplicate...
Another factor in the development of generative models is the architecture underneath. One of the most popular is the transformer network. It is important to understand how it works in the context of generative AI. Transformer networks: Similar to recurrent neural networks, transformers are designed...
Generative AIs are frequently found in various content creation roles. They’re used by movie makers to either fill narrative gaps or, sometimes, carry much of the storyline. Some news organizations generate short snippets or even entire stories about ev
What are the benefits and applications of generative AI? 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. ...
Here’s a brief (though technically advanced) overview of three common types of GenAI models: Generative adversarial networks (GANs):These involve two neural networks, a generator and a discriminator, which are trained simultaneously. The generator creates new data instances, while the discriminator ...
These are the burning questions that a lot of people are asking, so to begin with we need to have a better understanding of what exactly generative AI is and what it brings to the table. What are the tools needed to enable applications and application developers to build solutions with nati...
Explore how generative AI technology can revolutionize industries, unleash innovation, and redefine creative boundaries. Unlock the possibilities of AI-generated content and its impact on art, design, and beyond.