Type of Services

Cortensor offers a variety of AI services tailored to meet diverse application needs, evolving from basic inference tasks to more specialized capabilities. Not all services require real-time responses, allowing for flexible and efficient use of network resources.

Overview

Cortensor’s services cater to different intelligence needs, ensuring that applications can leverage AI capabilities effectively, whether they require immediate responses or can operate with delayed processing.

Key Services

Inference Services:

Provides AI inference capabilities for applications to submit prompts and receive completions.
Supports both real-time and non-real-time processing, enabling flexible integration.
Utilizes Llama 3 models, both quantized and regular, to accommodate various hardware capabilities.
Includes tasks such as classification, prediction, and content generation.

Prediction Services:

Analyzes historical data to predict future trends and outcomes.
Essential for applications in finance, marketing, and supply chain management.
Utilizes advanced machine learning algorithms for accurate forecasts.

Generation Services:

Synthetic Data Generation: Creates artificial data for training AI models, enhancing performance and addressing data scarcity.
Content Generation: Produces text, images, and other content types based on user prompts.
Data Augmentation: Improves the robustness and performance of AI models through data augmentation techniques.

Classification Services:

Categorizes data into predefined classes for applications like spam detection, image classification, and document categorization.
Identifies and classifies entities within text, useful for NLP applications.
Classifies text based on sentiment, aiding in customer feedback analysis and social media monitoring.

Oracle Services:

Offers decentralized oracle services that provide reliable data feeds to smart contracts.
Ensures applications receive accurate and verified external data, crucial for blockchain-based operations.

AI Marketplace:

Facilitates a marketplace where developers can share, sell, and purchase AI models and services.
Supports the sharing of fine-tuned models with watermarks to incentivize contributions.
Allows for the creation and distribution of prompts to be used with inference sessions.
Future plans include integrating AI agents that can interact with the network and be hosted on-chain, enhancing the functionality and reach of AI services.

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Last updated 3 months ago

Key Services

Inference Services:

Provides AI inference capabilities for applications to submit prompts and receive completions.

Supports both real-time and non-real-time processing, enabling flexible integration.

Utilizes Llama 3 models, both quantized and regular, to accommodate various hardware capabilities.

Includes tasks such as classification, prediction, and content generation.

Prediction Services:

Analyzes historical data to predict future trends and outcomes.

Essential for applications in finance, marketing, and supply chain management.

Utilizes advanced machine learning algorithms for accurate forecasts.

Generation Services:

Synthetic Data Generation: Creates artificial data for training AI models, enhancing performance and addressing data scarcity.

Content Generation: Produces text, images, and other content types based on user prompts.

Data Augmentation: Improves the robustness and performance of AI models through data augmentation techniques.

Classification Services:

Categorizes data into predefined classes for applications like spam detection, image classification, and document categorization.

Identifies and classifies entities within text, useful for NLP applications.

Classifies text based on sentiment, aiding in customer feedback analysis and social media monitoring.

Oracle Services:

Offers decentralized oracle services that provide reliable data feeds to smart contracts.

Ensures applications receive accurate and verified external data, crucial for blockchain-based operations.

AI Marketplace:

Facilitates a marketplace where developers can share, sell, and purchase AI models and services.

Supports the sharing of fine-tuned models with watermarks to incentivize contributions.

Allows for the creation and distribution of prompts to be used with inference sessions.

Future plans include integrating AI agents that can interact with the network and be hosted on-chain, enhancing the functionality and reach of AI services.