Humiris: Building an infrastructure for high-performance AI applications by automatically invoking the best LLMs on request

General Introduction

Humiris AI is a platform focused on delivering next-generation AI infrastructure designed to improve the accuracy and performance of AI applications by blending multiple large-scale language models (LLMs). The platform supports users in leveraging AI technologies at scale without sacrificing quality or control. It does this through a unique hybrid modeling approach that enables users to tune a mix of models on demand to achieve an optimal balance between speed, cost, quality, sustainability, and data privacy.

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Function List

• Hybrid model tuning: Users can simultaneously tune multiple LLMs from different providers, such as OpenAI, Meta, Anthropic, etc., to achieve higher accuracy and cost-effectiveness.
• Advanced Reasoning: provides powerful reasoning capabilities to help users create advanced AI agents and automation solutions.
• Self-learning system: by integrating multiple LLM actions, history, and trial-and-error experiences, Humiris AI's core memory system is able to self-learn and improve reasoning.
• Data analysis: Provide high-precision data analysis function, adapt to complex data environment.
• Code generation: support for a variety of programming languages and frameworks for code generation, to help developers quickly develop software.
• Security & Compliance: provides data security and compliance solutions to ensure the privacy and security of data in AI applications.

Using Help

Selecting the usage mode

• SaaS model: directly use the cloud services provided by Humiris AI without local deployment.
  • Choose the appropriate package (e.g., Basic, Professional, Enterprise), each of which offers different levels of features and support.
  • Enter your credit card information or use another payment method to subscribe.
• Self-Deployment Mode: For those who require a higher degree of data control, Humiris AI allows you to deploy the service on your own infrastructure.
  • Contact Humiris AI's support team for a self-deployment package.
  • Install and configure the service according to the guidance documentation to ensure that your server meets the system requirements.

Function Operation Guide

Create a hybrid model:

1. Model Selection: After entering the control panel, select the "Hybrid Model Tuning" menu.
   • Select the model you need to tune from the list of preset models or upload your own.
2. Data Preparation: Upload or enter your dataset, making sure that the data format complies with Humiris AI requirements.
3. Parameter Settings:
   • Set the parameters such as weights and learning rate of the model.
   • Select the goals of the model (e.g., improve accuracy, reduce costs, etc.).
4. Training and Testing:
   • Click on "Start Training" and the system will automatically adjust to your settings.
   • During training, you can monitor progress and performance.
   • Upon completion, test the model's performance on real data sets and further adjust it based on feedback.

Use advanced reasoning features:

• In the "AI Agent" module, define your mission goals.
• Select or customize the environment in which your AI agent runs, including the combination of LLMs used.
• Set trigger conditions and execution rules to let AI automate tasks such as data analysis, code generation, etc.

Data Analytics and Insights:

• Upload data files or connect to an existing database.
• Use the built-in analysis tools to process the data and generate reports or visual charts.
• Get data insights with Humiris AI's AI Assistant, which can help you quickly identify trends and anomalies.

Code Generation:

• In the Developer Tools module, specify the type of code you want to generate (e.g., Python, JavaScript, etc.).
• Enter a requirement statement and the system will automatically generate a code snippet that meets the requirement.
• Optionally, you can generate complete application functions or individual modules.

Security and Compliance:

• Configure data access and privilege control to ensure data security.
• View and manage compliance reports to ensure that your AI applications meet various regulatory requirements.

With these steps, you can take full advantage of Humiris AI's capabilities to improve your AI application development efficiency while ensuring performance and security.