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Prompt engineering is an artificial intelligence (AI) concept that optimizes the prompts and parameters of a large language model (LLM) to produce precise, context-aware responses. The Prompt Pattern 1 – Reader / Writer Solution Accelerator uses this approach to fine-tune the prompts and retrieve accurate responses from a LLM. Each iteration’s output is clearly presented, enabling the assessment of the AI’s accuracy. Modifications in each iteration can be made to the prompt, AI parameters, AI model, or even AI provider. The engineer can verify each LLM response manually before it’s used in other automations. If satisfied, the engineer can run the prompt against all queue items without additional manual checks.

  

This Solution Accelerator involves sending cold emails marketing UiPath software to potential customers using knowledge of their industry. Initial context is gathered from a CRM and HRIS system, with additional context from a Knowledge Base System based on the initial information. An email is then generated using the context, refined, and verified before being sent to the potential client.

Refine your prompt and alter LLM outcomes with Generative AI parameters for personalized text in the Performer process. This accelerator enables tailored cold emails to potential clients.

Version	Release Date	Download Link
1.0.0	July 18, 2023
Initial published version

Prompt Pattern 1 - Reader / Writer