UiPath Unveils New Family of LLMs at AI Summit to Empower Enterprises to Harness Full Capabilities of GenAI
UiPath introduces new GenAI features to enhance automation capabilities with specialized AI models and tools. The company showcases these advancements at the virtual AI Summit, focusing on business context, model flexibility, actionability, and trust. New features include Generative Large Language Models (LLMs) like DocPATH and CommPATH, Context Grounding for business-specific data augmentation, GenAI Connectors with IBM watsonx.ai, and Autopilot™ for Developers and Testers.
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UiPath unveils new GenAI features to empower enterprises with specialized AI models for automation.
The company emphasizes the importance of business context, model flexibility, actionability, and trust in AI integration.
Generative Large Language Models (LLMs) like DocPATH and CommPATH offer tailored solutions for document processing and communications.
Context Grounding enhances GenAI models by incorporating business-specific data for improved accuracy.
GenAI Connectors with IBM watsonx.ai provide access to foundational models for various use cases.
Autopilot™ for Developers and Testers streamlines automation building and testing processes.
Prebuilt GenAI Activities enable faster deployment and utilization of AI predictions in automation workflows.
UiPath's introduction of Generative AI (GenAI) features and updates, such as Generative Large Language Models (LLMs), Context Grounding and the IBM watsonx.ai connector, signals a significant shift in enterprise automation and AI integration. The move towards specialized AI models like DocPATH and CommPATH, tailored for document processing and communications, represents a departure from general-purpose models like GPT-4. This specialization could lead to more efficient and accurate automation processes, potentially driving cost savings and productivity gains for businesses.
The Context Grounding feature, which is designed to augment GenAI models with business-specific data, is particularly noteworthy. By providing a foundation of business context through retrieval augmented generation, UiPath is addressing a common pain point in AI model training and utilization. This could result in more precise AI predictions and insights, which are critical for businesses looking to leverage AI for competitive advantage. Overall, these developments may enhance UiPath's value proposition and could lead to increased adoption of its platform, potentially impacting its market share and growth trajectory.
UiPath's latest updates and the partnership with IBM underscore the growing trend of collaboration between AI and automation companies. The availability of the IBM Watson Connector through the UiPath platform expands the ecosystem of AI tools available to enterprises, fostering a more interconnected and versatile automation environment. The integration of GenAI use cases, such as summarization and task classification, into UiPath workflows suggests a strategic push to make AI more accessible and functional within enterprise operations.
From a market perspective, UiPath's emphasis on ease of use, with low/no-code UX environments and prebuilt GenAI Activities, aligns with the broader industry move towards democratizing AI and automation technologies. By reducing the barrier to entry and the time required to deploy AI solutions, UiPath is well-positioned to capture a wider customer base, including non-technical users. This approach could translate into increased market penetration and customer loyalty, as users benefit from faster time-to-value and the ability to address complex business challenges with AI-enhanced automation.
The introduction of the UiPath AI Trust Layer, particularly in the context of Context Grounding, touches upon the critical issue of trust and ethics in AI. As AI becomes more deeply integrated into business processes, ensuring the accuracy and reliability of AI predictions is paramount. UiPath's approach to improving model accuracy with business-specific data is an important step towards building trust in AI systems.
Moreover, the emphasis on actionability and trust as key factors for business leaders when embedding AI into their automation programs reflects a growing awareness of the ethical implications of AI. By providing tools that enhance the performance and accuracy of GenAI models, UiPath is not only improving the technical capabilities of its offerings but also addressing the need for responsible AI deployment. This focus on trust and ethics could become a differentiator in the market, as customers increasingly prioritize these aspects when selecting AI and automation partners.
03/19/2024 - 08:00 AM
Company introduces Context Grounding to augment GenAI models with business-specific data, an IBM watsonx.ai connector, and updates for Autopilot™
To register for UiPath AI Summit, visit here
NEW YORK --(BUSINESS WIRE)--
UiPath (NYSE: PATH), a leading enterprise automation and AI software company, today announced several new generative AI (GenAI) features in its platform designed to help enterprises realize the full potential of AI with automation by accessing powerful, specialized AI models tailored to their challenges and most valuable use cases. UiPath will showcase its latest capabilities at the virtual AI Summit taking place today, March 19 at 10:00 am GMT, 11:00 am EDT, and 3:00 pm AEDT.
The UiPath Business Automation Platform offers end-to-end automation for business processes. There are four key factors that business leaders seeking to embed AI in their automation program must keep top of mind: business context, AI model flexibility, actionability, and trust. The new AI features of the UiPath Platform address these key areas to ensure customers are equipped with the tools necessary to enhance the performance and accuracy of GenAI models and tools and more easily tackle diverse business challenges with AI and automation.
“Businesses need an assortment of AI models, the best in class for every task, to achieve their full potential. Our new family of UiPath LLMs, along with Context Grounding to optimize GenAI models with business specific data, provide accuracy, consistency, predictability, time to value, and empower customers to transform their business environments with the latest GenAI capabilities on the market,” said Graham Sheldon, Chief Product Officer at UiPath. “These new features ensure that AI has the integrations, data, context, and ability to take action in the enterprise with automation to meet our customers’ unique needs.”
At the AI Summit, UiPath announced:
Generative Large Language Models (LLMs)
The new LLMs, DocPATH and CommPATH, give businesses LLMs that are extensively trained for their specific tasks, document processing and communications. General-purpose GenAI models like GPT-4 struggle to match the performance and accuracy of models specially trained for a specific task. Instead of relying on imprecise and time-consuming prompt engineering, DocPATH and CommPATH provide businesses with extensive tools to customize AI models to their exact requirements, allowing them to understand any document and a huge variety of message types.
Context Grounding to augment GenAI models with business specific data
Businesses need a safe, reliable, low touch way to use their business data with AI models. To address this need, UiPath is introducing Context Grounding, a new feature within the UiPath AI Trust Layer that will be entering private preview in April. UiPath Context Grounding helps businesses improve the accuracy of GenAI models by providing prompts a foundation of business context through retrieval augmented generation. This system extracts information from company specific datasets, like a knowledge base or internal policies and procedures to create more accurate and insightful responses.
Context Grounding makes business data LLM-ready by converting it to an optimized format that can easily be indexed, searched, and injected into prompts to improve GenAI predictions. Context Grounding will enhance all UiPath Gen AI experiences in UiPath Autopilots, GenAI Activities, and intelligent document processing (IDP) products like Document Understanding.
GenAI Connectors & IBM watsonx.ai
IBM used UiPath Connector Builder to create a unique watsonx.ai connector. The new connector provides UiPath customers with access to multiple foundational models currently available in watsonx.ai. GenAI use cases, such as summarization, Q&A, task classification, and optimization for chat, are quickly integrated and infused into new and existing UiPath workflows and frameworks. IBM watsonx customers can also access broader UiPath platform capabilities, such as Test Automation, Process Mining and Studio workflows, all within a low/no-code UX environment. IBM’s industry-leading consulting capabilities, coupled with the UiPath Business Automation Platform, will help support successful GenAI adoption, including the right strategy for infusing AI into more powerful, and complex automated workflows.
“IBM and UiPath strongly believe that AI and GenAI are rapidly changing the entire landscape of business globally,” said Tom Ivory, Senior Partner, Vice President, Global Leader of Global Automation at IBM. “We are excited that IBM’s watsonx.ai and UiPath’s Connector Builder together now help create insights and efficiencies that result in real value for our customers.”
The IBM Watson Connector is now generally available through the Integration Service Connector Catalog .
Autopilot for Developers and Testers
UiPath Autopilot™ is a suite of GenAI-powered experiences across the platform that make automation builders and users more productive. Autopilot experiences for Developers and Testers are now available in preview with a targeted general availability in June. Over 1,500 organizations are using UiPath Autopilot™ resulting in over 7,000 generations and over 5,500 expressions generated per week.
Autopilot for Developers empowers both professional and citizen automation developers to create automations, code, and expressions with natural language, accelerating every aspect of building automations.
Autopilot for Testers transforms the testing lifecycle, from planning to analysis, reducing the burden of manual testing and allowing enterprise testing teams to test more applications faster. Autopilot for Testers empowers testing teams to rapidly generate step-by-step test cases from requirements and any other source documents, generate automations from test steps, and surface insights from test results, allowing testers to identify root cause of issues in minutes, not hours or days.
Prebuilt GenAI Activities for faster time to value
New prebuilt GenAI Activities utilize the UiPath AI Trust Layer and are easy to access, develop with, and leverage high quality AI predictions in automation workflows that deliver faster time to value. GenAI Activities provide access to a growing collection of GenAI use cases, such as text completion for emails, categorization, image detection, language translation, and the ability to filter out personally identifiable information (PII) enabling enterprises to do more with GenAI. With GenAI Activities, enterprises can reduce time to build and achieve a competitive edge using GenAI to help customize the customer experience, optimize supply chains, forecast demands, and make informed decisions.
About UiPath
UiPath (NYSE: PATH) is on a mission to uplevel knowledge work so more people can work more creatively, collaboratively, and strategically. The AI-powered UiPath Business Automation Platform combines the leading robotic process automation (RPA) solution with a full suite of capabilities to understand, automate, and operate end-to-end processes, offering unprecedented time-to-value. For organizations that need to evolve to survive and thrive through increasingly changing times, UiPath is The Foundation of Innovation™.
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Source: UiPath
What new GenAI features has UiPath introduced?
UiPath has introduced Generative Large Language Models (LLMs) like DocPATH and CommPATH, Context Grounding for business-specific data augmentation, GenAI Connectors with IBM watsonx.ai, and Autopilot™ for Developers and Testers.
What are the key areas that the new AI features of UiPath's Platform address?
The new AI features of UiPath's Platform address business context, AI model flexibility, actionability, and trust to enhance the performance and accuracy of GenAI models and tools.
What is the purpose of Context Grounding in augmenting GenAI models?
Context Grounding helps improve the accuracy of GenAI models by providing prompts with a foundation of business context through retrieval augmented generation.
How does UiPath's GenAI Connectors collaborate with IBM watsonx.ai?
UiPath's GenAI Connectors integrate with IBM watsonx.ai to provide access to foundational models for various GenAI use cases such as summarization, Q&A, task classification, and optimization for chat.
What is Autopilot™ and who can benefit from it?
Autopilot™ is a suite of GenAI-powered experiences across the platform that make automation builders and users more productive. Developers and Testers can benefit from Autopilot™ to accelerate automation building and streamline testing processes.
How do prebuilt GenAI Activities contribute to automation workflows?
Prebuilt GenAI Activities enable faster deployment and utilization of AI predictions in automation workflows, providing access to a variety of GenAI use cases such as text completion, categorization, image detection, language translation, and PII filtering.
