How It Works

At efficiencyUSA.ai, we can help you harness the power of Generative AI. Our innovative AI solutions provide accurate, reliable, and actionable information by processing and integrating large sets of documents. Currently, we favor Microsoft’s Azure Open AI and OpenAI solutions and work with a team at a Microsoft Gold Certified partner for implementaion. Here’s a detailed breakdown of how our system could work for you:

Explanation of Generative AI: Overall Concept

1. Document Ingestion:

  • Process Your Documents: We start by uncovering your current website, PDF or text documents, checking to see if the format is suitable for the Language Learning Model (LLM) and an accompanying search engine or database.

2. Indexing:

  • Store Processed Documents: The processed documents are stored using Azure OpenAI or depending on size, a simpler database that will ensure they are easily searchable and quickly accessible.

3. LLM Integration:

  • User Query Processing: The LLM takes the user’s question and queries the search index to find the most relevant documents.

  • Information Retrieval: The LLM processes information from the found documents to formulate a precise and informative answer.

  • Source Linking: The answer includes links to the relevant documents, providing transparency and easy access to source material.

Strengths of this Approach

  • Accuracy: By relying on your curated set of trusted documents, the LLM provides accurate and relevant answers, minimizing the risk of incorrect information.

  • Control: Client has full control over the knowledge base which ensures security, reliability and consistency in the information provided.

  • Source Transparency: Including links to the source documents builds trust and allows users to verify and explore the information further.

Example Workflow

1. User Query:

  • A user asks: "What are the main components of a solar power system?"

2. Document Search:

  • The LLM uses added search functionality to find documents related to solar power systems.

3. Information Extraction:

  • The LLM identifies and extracts relevant information, such as passages describing solar panels, inverters, batteries, etc.

4. Answer Generation:

  • The LLM generates a comprehensive answer:

    • "A typical solar power system includes:

      • Solar panels: Convert sunlight into electricity. [link to document 1]

      • Inverter: Converts DC power from panels into usable AC power. [link to document 2]

      • Battery (optional): Stores excess energy for later use. [link to document 3] ..."

This structured and efficient approach ensures that users receive accurate and reliable information, backed by trusted sources, thereby enhancing the overall experience and utility of our AI solutions.

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This page was crafted with our human know-how along with AI language assistance.

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