The race to build a great artificial intelligence app is long, and starting from scratch can be difficult without some sort of advantage.
To provide that benefit to its customers, Nvidia Corp. Introducing the NIM Agent Blueprint The company said today's announcement includes everything enterprise developers need to build and deploy generative AI applications from start to finish.
NVIDIA NIM Microservices provide developers efficient access to AI models for generative AI workflows such as digital human customer service chatbots, search augmentation generation, and drug discovery. Creation Building production-ready apps using AI models is a complex process that requires multiple tools and skilled workers. By making that process more accessible by providing prescriptive templates for well-known business use cases, the company says it can speed up the creation of these apps.
“The wave of enterprise AI is upon us,” said Jensen Huang, founder and CEO, Nvidia. “With the Nvidia AI Enterprise toolkit, including NeMo, NIM microservices and the latest NIM agent blueprint, our broad partner ecosystem is poised to help companies customize the open source model, build bespoke AI applications and seamlessly deploy them to any cloud, on-premise or at the edge.”
Gartner Reported AI is on track to be adopted across the enterprise, with 80% of conversational services expected to incorporate generative AI by 2025, up from 20% in 2024.
The NIM Agent Blueprint is being released with three ready-to-run AI workflows for developers based on the most commonly used business use cases across industries. The first is a digital human NIM Agent Blueprint for customer service applications, which enables enterprise users to build chatbots that can engage conversationally with customers and customer service agents through text and voice, and also customize the experience with a 3D animated avatar interface.
A new multimodal PDF extraction workflow agent for the enterprise enables developers to rapidly build apps that can read through large volumes of documents to extract and unlock insights. According to Nvidia, the workflow enables AI agents and customer service chatbots to instantly become experts on company topics contained in PDF documents using search augmentation generation, a way to increase the accuracy of generative AI apps and reduce errors by including real-time data.
Finally, Nvidia has incorporated its generative virtual screening NIM Agent Blueprint for drug discovery, which aims to enable pharmaceutical companies to reduce the time it takes to collaborate with human experts to optimize potential drug-like molecules, thereby increasing the chances of success by screening molecules that would not work in a laboratory environment, and significantly reducing the cost of generating life-saving medicines.
Current machine learning techniques are effective for screening drugs, but ultimately protein predictions are finalized in the lab using a combination of physics-based pattern matching and human intuition. Researchers and application developers can leverage their real-world research and activity expertise to refine AI models, improving prediction accuracy and saving time. Blueprint incorporates well-known protein predictors such as AlphaFold2. Mol MM and Diff Dock.
Nvidia said it plans to release additional blueprints each month to incorporate other business applications into other industries, including customer service, content generation, software engineering and product research and development.
Nvidia is partnering with several large companies to incorporate and distribute the new NIM agent blueprint: Professional services firm Accenture, network technology companies Cisco Systems Inc. and Dell Technologies Inc., consulting firms Deloitte Ltd., Hewlett Packard Enterprise Co., Lenovo, IT consulting firm SoftServe Inc. and global systems integrator World Wide Technology Inc. are some of the first partners to join.
“Across industries, generative AI is serving as a catalyst for companies looking to reinvent themselves with technology, data and AI,” said Julie Sweet, chairman and chief executive officer, Accenture. “By integrating NVIDIA's workflow catalog into Accenture's AI Refinery, we can help our clients rapidly develop custom AI systems to rethink how they do business and serve their customers, driving stronger business outcomes and creating new value.”
Image: Nvidia
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