Token AI

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Introducing the Token AI Embedding Model Series

We are proud to announce the launch of the Token AI Embedding Model Series, a new generation of intelligent embedding models developed by Assem Sabry, Founder and AI Engineer at Token AI.

This series marks a major step forward in semantic understanding and language representation. It is built to power AI-driven systems such as intelligent search, retrieval, and recommendation engines.

About the Series

The Token AI Embedding Models are designed using advanced Transformer architectures and optimized for performance, scalability, and efficiency across various environments.

Models include:

TokenAI-Embedding-Small – lightweight and efficient for edge and mobile use.

TokenAI-Embedding-Medium – balanced between speed and accuracy for production systems.

TokenAI-Embedding-Large – highly capable and contextual for enterprise-scale tasks.

TokenAI-Embedding-VisionText (coming soon) – combines text and visual understanding.

Key Features

Transformer-based architecture

Supports LoRA fine-tuning

Suitable for developers and enterprises

Open Source Availability

Several models from the series will be released as open source to empower researchers, developers, and startups to build smarter and more context-aware AI systems.