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Automation Technical Lead

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LLM framework orchestrates template reusability across a wide array of use cases requiring the power of large language models.

  

These use cases generally fall under 3 categories:

*   Conversational (chat-based/context-aware conversations, personal assistants)
*   Transactional (queue based) 
*   Transactional with human in the loop

This template leverages custom Python API built on top of LangChain framework (standard framework for LLM app development).

  

### Quick-Start Samples Included

*   Simple Sequence
*   Sample Implementation: Conversation Mode - Chat With Your Own Data (UiPath Forms + LLM Framework)
*   Sample Implementation: Transaction Mode - Contracts Indemnification Review (Queues + LLM Framework)

  

### Video Walkthrough

*   0:30 - LLM Framework Overview
*   1:18 - Conversational (e.g. Personal Assistants) vs Transactional (e.g. Queue based)
*   3:52 - Framework Custom Activity Components
*   4:47 - Currently Supported LLM Provider/Model
*   6:21 - Framework Activities: Sample Basic Usage
*   13:35 - LLM Framework Template Detailed Walkthrough
*   15:15 - Framework Configuration File
*   20:15 - Framework Pathways
*   22:18 - Custom Interaction Flow Rules/Validations
*   23:38 - Sample Implementation: Conversation Mode
*   29:51 - Solution Architecture
*   33:13 - Sample Implementation: Transaction Mode - Contracts Indemnifcation Review
*   41:06 - HITL Configuration - Enable Persistence
*   41:48 - HITL Configuration - Wait Activity Placeholder
*   47:14 - HITL Action Sample - Contracts Indemification Review
*   48:44 - Sample Implementation: Transaction Mode - Contracts Summarization &        Deliverables Extraction
*   51:54 - HITL Action Sample  - Contracts Summarization & Deliverables Extraction
*   52:48 - Closing Summary

Quickly build your own Generative AI powered automations using this LLM Framework Studio template.

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Visual Basic

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LLM Framework for UiPath Studio