Automorphic

Automorphic is a platform that enhances language models with knowledge infusion tools, such as Conduit, and conversion tools like TREX. It also provides security measures with Aegis, a tool designed to protect against adversarial attacks. The Automorphic Hub allows users to access models trained and refined on the platform for their own usage. Furthermore, Automorphic's tools support seamless integration with the OpenAI API, ensuring flexibility and adaptability for users.

Conduit is a tool by Automorphic specifically designed to infuse knowledge into language models. It bypasses the inefficiencies and limitations of traditional prompt stuffing, allowing the fine-tuning of language models. Conduit also enables the training of adapters for specific behavior or knowledge, which can be dynamically combined. Crucially, it provides the ability to rapidly iterate on models through incorporating human-in-the-loop feedback, which helps streamline model deployment. Further

Conduit enables the quick loading and stacking of fine-tuned adapters by facilitating efficient data handling and processing. By eliminating concerns over performance and deployment, it allows users to focus on fine-tuning models and providing feedback. This results in reduced waiting times and increased operational efficiency.

Absolutely, Conduit can be integrated easily into already existing codebases. It is declared to be compatible with the OpenAI API, meaning users can use it with no changes to their current codes.

The Automorphic Hub serves as the platform where publicly shared models that have been trained and normalized on Automorphic are made available for inference. It acts as a repository for these models, facilitating easy access and utilization for users.

Yes, the Automorphic Hub allows users to access models that have been shared publicly. These models have been trained and improved using Automorphic and can be used for inference in their applications.

TREX is a tool by Automorphic that transforms unstructured data into a structured format as per the user's choice. With TREX, the output from language models becomes 100% predictable as it is converted into user-selected structured formats. Unlike OpenAI's default functions, TREX offers high customization options, giving users more control and flexibility over their data processing.

Yes, TREX can indeed convert unstructured data into either JSON or XML, offering a comprehensive range of structured formats to choose from, which includes but is not limited to JSON and XML. These might even be formats defined by a regular expression or context-free grammar.

Aegis is essentially a firewall tool provided by Automorphic, designed to protect language models and users from adversarial attacks. Aegis effectively defends against prompt injections, prompt and personal identifiable information (PII) leakage, and also toxic language. This ensures the integrity of the models and ensures user data security.

Yes, it is a core function of Aegis to detect toxic language and PII leakage. Aegis is designed to safeguard against these particular threats alongside additional measures for defending against prompt injections.