{"id":7545,"date":"2023-04-28T11:18:19","date_gmt":"2023-04-28T18:18:19","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=7545"},"modified":"2024-04-17T17:54:40","modified_gmt":"2024-04-17T17:54:40","slug":"what-is-generative-ai","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/in\/news\/stories\/what-is-generative-ai\/","title":{"rendered":"Salesforce Execs Weigh In: What Is Generative AI?"},"content":{"rendered":"\n

Editor\u2019s Note: AI Cloud, Einstein GPT, and other cloud GPT products are now Einstein. For the latest on Salesforce Einstein, go <\/em>here<\/em><\/a>.<\/em><\/p>\n\n\n\n

Generative artificial intelligence (AI) exploded on the scene in late 2022, sending people and businesses into a frenzy of curiosity and questions over its potential. <\/p>\n\n\n\n

But what exactly is generative AI? Put simply, generative AI is technology that takes a set of data and uses it to create something new \u2013 like poetry, a physics explainer, an email to a client, an image, or new music \u2013 when prompted by a human. <\/p>\n\n\n\n

Unlike traditional AI models, generative AI \u201cdoesn\u2019t just classify or predict, but creates content of its own […] and, it does so with a human-like command of language,\u201d explained<\/a> Salesforce Chief Scientist Silvio Savarese<\/a>. <\/p>\n\n\n\n

Of course, the ability to classify and predict data accurately is a critical element to successful generative AI: The product is only as good as the data it has to work with.<\/p>\n\n\n\n

\n

“AI is only as good as the data you give it and you have to make sure that the datasets are representative.”<\/p>\nPaula Goldman, Salesforce Chief Ethical and Humane Use Officer<\/cite><\/blockquote>\n\n\n\n

How does generative AI work? <\/h2>\n\n\n\n

There are several approaches to developing generative AI models, but one that is gaining significant traction is using pre-trained, large-language models (LLMs) to create novel content from text-based prompts. Generative AI is already helping people create everything from resumes and business plans to lines of code and digital art. But the technology\u2019s potential at Salesforce and for enterprise businesses goes beyond making images of polar bears playing bass guitar<\/a>.<\/p>\n\n\n\n

The user gives the tool direction on what to produce, and then, based on the LLMs it has to work with, the AI generates something \u2014 be it words, code, or when thinking even bigger, things like novel proteins<\/a>.<\/p>\n\n\n\n

Eventually, Savarese predicts<\/a>, these AI tools will “assist us in many parts of our lives, taking on the role of superpowered collaborators.”  For enterprises, it is especially important to include a human in the loop approach when developing and using generative AI technologies. By doing so, businesses can validate and test automated workflows with human oversight and intervention before unleashing fully autonomous systems. This can help prevent potential risks and ensure that the technology is being used in a responsible and ethical manner. Moreover, having a human in the loop can help build trust and confidence in the technology among stakeholders and customers.<\/p>\n\n\n\n