Automorphic

Automorphic

Freemium

Conduit: Revolutionizing Language Models
Most popular alternative: Doctrine

Introduction:

Are you tired of struggling with the limitations of language models and NLP?

Introducing Automorphic, the ultimate AI tool that revolutionizes language models and NLP improvements.

With our powerful tool called Conduit, you can infuse knowledge into language models, fine-tune them, train adapters for behavior or knowledge, and dynamically combine them. Say goodbye to prompt stuffing and hello to rapid iteration on models with human-in-the-loop feedback and streamlined deployment.

But that’s not all. Automorphic’s Conduit continuously updates language models based on user feedback and manual labeling, ensuring high performance and deployment efficiency. Seamlessly integrate Conduit into your existing codebase with compatibility with the OpenAI API.

Explore the Automorphic Hub, a platform where publicly shared models trained and enhanced using Automorphic are available for inference. Leverage these models for your own applications and take your AI capabilities to new heights.

And that’s not all. With TREX, our tool for converting unstructured data into a structured format of your choice, you have a highly customizable alternative to OpenAI’s functions. Define your own format using regular expressions or context-free grammar.

Protect your language models and users from adversarial attacks with Aegis, our powerful firewall tool. Defend against prompt injections, prompt and personal identifiable information (PII) leakage, and toxic language. Aegis continuously learns from usage to enhance its detection capabilities over time.

Experience the future of AI tools with Automorphic. Are you ready to unlock the true potential of language models and NLP?

Overview:

Automorphic is a powerful AI tool called Conduit that revolutionizes language models by infusing them with knowledge. It addresses the limitations of prompt stuffing by allowing fine-tuning of language models, training adapters for specific behaviors or knowledge, and dynamically combining them. With human-in-the-loop feedback and streamlined model deployment, Conduit facilitates rapid iteration on models.

Conduit continuously updates language models based on user feedback and manual labeling, ensuring high performance and deployment efficiency. It enables quick loading and stacking of fine-tuned adapters, thanks to its compatibility with the OpenAI API. This seamless integration allows users to easily incorporate Conduit into their existing codebase.

The Automorphic Hub serves as a platform where publicly shared models, trained and enhanced using Automorphic, are made available for inference. Users can access these models through the hub, leveraging them for their own applications and benefiting from the knowledge infused into them.

In addition to Conduit, Automorphic offers TREX, a versatile tool that converts unstructured data into a structured format of the user’s choice. Whether it’s JSON, XML, YAML, or any other format defined by a regular expression or context-free grammar, TREX provides a highly customizable alternative to OpenAI’s functions.

To safeguard language models and users from adversarial attacks, Automorphic provides Aegis, a robust firewall tool. Aegis defends against prompt injections, prompt and personal identifiable information (PII) leakage, and toxic language. By continuously learning from usage, Aegis enhances its detection capabilities over time, ensuring the utmost protection.

Benefits:

  • Conduit enables the infusion of knowledge into language models.
  • Conduit allows fine-tuning of language models and training adapters for behavior or knowledge.
  • Conduit facilitates rapid iteration on models by incorporating human-in-the-loop feedback and streamlining model deployment.
  • Automorphic Hub provides access to publicly shared models trained and enhanced using Automorphic.
  • TREX converts unstructured data into a structured format of the user’s choice.
  • Aegis protects language models and users from adversarial attacks.

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