This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Generative AI (gen AI) is artificial intelligence that responds to a user’s prompt or request with generated original content, such as audio, images, software code, text or video. Gen AImodels are trained on massive volumes of raw data.
Upcoming AI opportunities According to Ball, a current opportunity is organising the unstructured data that feeds into AImodels. “There can be a gap between the unstructured amoeba of data and then what you want in AI, which is sorted, ready to go,” he acknowledged.
It is a critical aspect of making AI systems more effective in real-world applications as it helps bridge the gap between humans and machines through contextual understanding. Grounded AImodels have improved accuracy and reliability, enabling them to better interpret the nuances of human language and behavior.
Understanding AI’s mysterious “opaque box” is paramount to creating explainableAI. This can be simplified by considering that AI, like all other technology, has a supply chain. AImodels are also created and delivered via supply chains.
This can be helpful for training a more domain-specific generative AImodel, and can even be more effective than training a “larger” model, with a greater level of control. What are some future trends in AI and data science that you are excited about, and how is Astronomer preparing for them? Learn by doing.
Top ODSC East 2023 Virtual Sessions Available to Watch for Free With topics ranging from explainableAI to delivering data-driven presentations, these are the top virtual sessions from ODSC East that you can watch for free.
Generative AI TrackBuild the Future with GenAI Generative AI has captured the worlds attention with tools like ChatGPT, DALL-E, and Stable Diffusion revolutionizing how we create content and automate tasks. AIEngineering TrackBuild Scalable AISystems Learn how to bridge the gap between AI development and software engineering.
We organize all of the trending information in your field so you don't have to. Join 15,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content