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Discover the power of AI in breaking down language barriers, streamlining repetitive tasks, and automating data extraction.

Artificial Intelligence 

We were founded in 2005 in a tiny apartment in Bucharest, Romania as DeskOver.

Fittingly, it was a customer who, in 2012, first saw the immense possibilities for us in the fledgling RPA market. Our desktop automation product launched in 2013. In 2015, we introduced our enterprise platform along with our new name.

Today, UiPath is the fastest-growing enterprise software company in history with scores of offices, thousands of employees, partnerships with the world’s best consulting and BPO firms, a **500,000-strong developer community**, and **5MM+ robots at work** in over **5,000 global enterprises.**

Our mission is to deliver the leading Robotic Process Automation platform to our clients for an automation first mindset.

We build software robots that automate repetitive processes. Our software robots take on the tedious, mind-numbing work and free people to do the more stimulating, creative work worth doing.

But no matter how much we’ve grown, one thing hasn’t changed. We’re still building a company we love to work for

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Does your organization deal with vast text-based operations? Perhaps it's crafting cold-call emails, summarizing customer interactions, processing insurance claims communications, creating product documentation, or responding to customer feedback. These are just a few examples. Any operation that involves heavy use of text, across various systems, document types, and applications, can be daunting and time-consuming.

  

The Prompt Engineering Framework Solution seamlessly takes in any number of textual contexts, enabling a Prompt Engineer to refine the prompt and retrieve accurate responses from a Large Language Model (LLM). The iteration process involves the modification of prompts, AI parameters, and even model changes, until the desired outcome is achieved. Once the Prompt Engineer is satisfied with the quality, accuracy, and reliability of the LLM's output, they can choose to run the refined prompt across all items in a queue without needing to verify each response manually. This streamlines the process significantly, saving your team the time spent on individual manual verification. With this confidence in the process, they can focus more on refining the prompt and adjusting Generative AI parameters to consistently produce high-quality responses.

  

Two practical applications of this framework are available as Accelerators on the [Marketplace](https://marketplace.uipath.com/listings?compatible_product=10) named:

*   [Prompt Pattern 1 – Reader / Writer](https://marketplace.uipath.com/listings/prompt-pattern-1-reader-writer)
*   [Prompt Pattern 2 – Analyst / Doer](https://marketplace.uipath.com/listings/prompt-pattern-2-analyst-doer)

Enhance your prompts using collected context, and continuously adjust Generative AI parameters and prompts to tailor LLM outcomes to retrieve the desired output.