HyperHack-2023 - LLM + Automation Framework
Use Case Description
The main challenges this solution is trying to solve are:
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Large language models (LLMs) are powerful generative AI tools, but their effectiveness depends on the quality and quantity of training data, which can also be a limiting factor. Without being able to incorporate your own data sources, they tend to hallucinate
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Require proper integrations, frameworks and guardrails to make them useful for enterprise use cases
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May perpetuate and amplify harmful biases that can reinforce today’s pandemic issue of misninformation and disinformation
Leverage this LLM Framework template along with its Generative AI powered custom activities to make LLM App & Automation Development much easier, more flexible, more reliable and built for enterprise level usage with automation.
The solution comprises of 2 main components:
- UiPath Studio Template (LLM Framework Studio Template)
This template orchestrates the reusability of the solution across a wide array of use cases powered up large language models, which can either be Conversational (chat based/context aware conversations/personal assistant), Transactional (queue based) and/or Transactional with human in the loop.
Along with this reusability, there is an important consideration for flexibility in the framework so that it can cater to different types of downstream process which may or may not involve UI/API automation. - Custom Activities (qBotica.Langchain)
This initial set of activities builds up the core elements to enable context-aware and memory backed interaction with your favorite large language models.
AS-IS WORKFLOW, TO-BE WORKFLOW
Other information about the use case
Industry categories for this use case: BFSI, Compliance, Customer Service, Finance, Healthcare Pharma, HR, Information Technology and Services, Legal, Logistic, Manufacturing, Marketing Sales, Operations, Telecom, Universities Academy, Banking, Insurance, Public Sector, Other Sector
Skill level required: Intermediate
UiPath Products that were used: UiPath Studio, UiPath Action Center, UiPath AI Center, UiPath Apps, UiPath Assistant, UiPath Chatbots, UiPath Data Services, UiPath Document Understanding, UiPath Insights, UiPath Orchestrator
Other applications that were used: qBotica.Langchain Custom APIs/Activities, Azure Storage, HTML JS Forms
Other resources:
What is the top ROI driver for this use case?: Accelerate growth and operational efficiency