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Aetherical Tensor Technologies Consortium

ATTC harnesses the collective computational power of multiple machines to build and run powerful AI models that can tackle the most complex language processing tasks.

Introducing ATTC

Welcome to the revolutionary ATTC platform, designed to redefine the landscape of large language model (LLM) access and utilization.

Benefits

ATTC, a revolutionary platform unlocking the power of Large Language Models (LLMs) for diverse industries. ATTC transforms the landscape of language model usage, benefiting researchers, developers, universities, retailers, the health sector, and more.

Career

Join the ATTC Team! Explore exciting career opportunities at ATTC and become part of a dynamic team shaping the future of collaborative AI. We are actively seeking talented individuals to fill the following roles.

What we do

Our mission is to empower your journey with cutting-edge technologies.

How it Works

ATTC operates on a collaborative server-client model, with servers hosting subsets of model layers and clients forming chains of pipeline-parallel servers for efficient inference. Fine-tuning capabilities include parameter-efficient training methods, distributed fine-tuning, and sharing and reusing trained modules through model hub integration.

User Interface

ATTC offers a user-friendly API for token generation, allowing clients to initiate inference sessions and interact with large language models. System requirements for inference and fine-tuning are specified for optimal performance.

Experience ATTC in Action

ATTC combines collaborative power, fine-tuning flexibility, and user-friendly interfaces to showcase the transformative capabilities of large language models. Explore collaborative inference and fine-tuning today.

Features

Discover the exceptional features of ATTC, including collaborative inference, fine-tuning capabilities, dynamic quantization, load balancing, latency prioritization, community hub, user-friendly API, and tailored subscription plans.

Innovation in Model Sharing

  • Hub Integration: Share trained submodules on the Hugging Face Hub through ATTC for easy access and reuse in inference or further training.
  • AdapterHub Compatibility: Users can utilize AdapterHub's library for training adapters in the distributed ATTC setting, enhancing flexibility.
  • Shared Modules: ATTC promotes collaboration by facilitating the sharing and reuse of trained modules, fostering a community-driven knowledge exchange. Explore innovative ways to contribute and benefit from shared resources.

Join ATTC Today

ATTC is where collaboration meets innovation, transforming the way you interact with and customize large language models. Join ATTC today to redefine your NLP experience.

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