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Automorphic

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About

Automorphic's Conduit helps infuse knowledge into language models via fine-tuning, bypassing context-window limitations. Train adapters for behavior or knowledge, and combine and commute them on the fly. Rapidly iterate on your models with human-in-the-loop feedback and get them into production. Conduit augments your datasets to continuously improve your models. It enables rapid loading/stacking of fine-tuned adapters and is compatible with the OpenAI API. On-premise deployment is available.

Platform
Web
Keywords
language modelsadapterself improving modelsknowledge infusion
Task
model tuning

Features

deploy on premise

openai api compatible

rapid loading/stacking of fine-tuned adapters

continuous model improvement

human-in-the-loop feedback

adapters for behavior or knowledge

fine-tuning for language models

infuse knowledge into language models with just 10 samples

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Social Media

discord

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