The AI revolution is here, and various industries and public institutions are beginning to leverage some of the capabilities that “generative” AI has to offer.
The difference between the new categories of conventional AI and generative AI is that unlike conventional AI, which mainly focuses on pattern detection, the latter, which creates new and novel ideas based on tasks assigned by the user of the AI tool. Ability. Examples of generative AI in use today include tools such as ChatGPT, DALL E2, and Synthesia.
One government-focused business taking advantage of these new technologies is Accenture Federal Services.
Michael Thieme, Generative AI Lead at Accenture Federal Services, spoke to MeriTalk about some of the important work he and Accenture have been working on and the possibilities generative AI brings to the future.
“Accenture Federal Services has been working on generative AI since it became practical for federal government use cases about four years ago,” said Thieme.
“Recently, we use Large Language Models (LLMs) to solve client challenges such as data annotation and translation,” he said. “The explosion of public interest in ChatGPT in late 2022 demonstrates the power of his new LLM for dozens of federal government use cases.”
As part of this leap forward in the use of AI technology, Accenture recently announced the creation of a new Generative AI Center to help people prepare for the “future of work.”
“The Federal Generative AI Center of Excellence will leverage our capabilities in human-centered design, AI, and data analytics to bring new capabilities to our clients,” said Thieme. “The Center of Excellence is collaborating with Accenture Federal Studios on the future of work.
Challenges facing many industries and governments are “substantial data privacy, security and intellectual property issues” and constant changes in AI tools.
To address these challenges, Accenture Federal Services launched FedGPT. According to Thieme, it “adapts generative large-scale language models and underlying models to fit federal government use cases for on-premises applications with sensitive data.”
“FedGPT will combine open source and commercial models to address high-priority use cases that accelerate value for our clients,” he said.
The use of new technology suggests much more potential for the future, says Thieme. , judgment, and ability can come to the forefront.
