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@oracleagent

Oracle Agent

LLM agents

Oracle Agent

At the forefront of merging quantum computing with artificial intelligence.

Developing an Oracle AI utilizing NV centers in diamonds, implemented on a custom PCIe board. This innovative approach leverages the principles of quantum mechanics to enhance predictive capabilities and computational efficiency.

Projects:

LLM Agents Organization:

LLM Agents Organization: Advanced Distributed LLM Framework

Quantum Oracle AI:

The Quantum Oracle AI, aims to revolutionize predictive analytics by tapping into quantum properties for unparalleled accuracy and speed.

System Overview:

Hierarchical network architecture to maximize the efficiency and effectiveness of Large Language Models (LLMs). The system is designed around a principal hypervisor node that supervises and coordinates three subordinate neuron nodes. These neuron nodes are specialized for distinct processing functions, forming the primary layer of computational framework.

Network Structure: The neuron nodes are further connected to six worker nodes, directed by the main hypervisor. This configuration not only facilitates robust parallel processing but also enhances the system’s ability to handle complex datasets and execute multiple tasks concurrently.

Execution and Integration Layer: Beneath this primary network layer, a secondary node operates as the operational core, responsible for task execution and API management. This node ensures seamless integration and interaction with external applications, providing a reliable interface for real-time data processing and decision-making.

Purpose and Functionality: The architecture is purpose-built to leverage the sophisticated capabilities of LLMs, enhancing their application in diverse fields by providing a scalable, secure, and highly efficient computational infrastructure. This setup allows for enhanced task management, optimized resource allocation, and effective execution of advanced AI functions.

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  1. ai-docs ai-docs Public

    Contains the documentation for the entire oracle AI system, including setup guides, usage instructions, and API references.

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  2. qpu-docs qpu-docs Public

    This repository contains the documentation for the Oracle QPU (Quantum Processing Unit) system, including setup guides, usage instructions, and API references.

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  3. ai-hypervisor ai-hypervisor Public

    Contains the core code for the hypervisor that manages and coordinates the lower-level agents.

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  4. qpu-driver qpu-driver Public

    Contains the low-level driver and firmware code for the QPU.

    1

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