A developer is designing a prompt for an agent to generate FAQs for a product website. Testing reveals that many generated FAQs are unclear or not helpful for customers.What best practice should be applied to resolve this issue?
Answer(s): B
To improve FAQ generation, the prompt should include explicit instructions and context that define the format, clear phrasing, and relevant topics. This guides the agent to produce helpful and customer-friendly FAQs.
According to the naming best practices, which of the following is the most appropriate name for a tool that generates summaries of PDF files?
Answer(s): D
Following naming best practices, pdf_summary is clear, descriptive, and uses lowercase with underscores to separate words, making it easily readable and understandable as a tool for summarizing PDF files.
In the Contexts section of Agents designer canvas in Studio Web, what does the `Threshold' setting control?
In the Contexts section, the `Threshold' setting controls the similarity score cutoff. Chunks scoring below this threshold are excluded from being grounded into the agent's prompt, improving relevance and precision.
A company is automating its partner onboarding process. This workflow needs to process diverse contract types, regulatory obligations, and varying compliance certifications, as well as adapt to frequent changes in business rules. Some contracts include subjective terms requiring human input. How can UiPath's automation capabilities best address such as an unpredictable workflow?
An automation agent can handle unpredictable workflows by grounding decisions in a knowledge base of historical data, using prompts to evaluate changing business rules, and escalating subjective or non-standard cases to humans, combining adaptability with compliance and oversight.
During the development of an AI agent for automated invoice processing, a developer is tasked with ensuring the agent can correctly handle discrepancies, such as mismatched totals or missing fields.What is a key step in the evaluation process to verify the agent's accuracy?
To verify the agent's accuracy, the developer should test with diverse invoice inputs, including discrepancies, and compare outputs to expected results using structured evaluators like Exact match. This ensures the agent correctly handles edge cases and maintains reliability.
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