Used for
- Fine-tuning language modelsRapid model iteration and deploymentKnowledge infusion into AI modelsOn-premise AI model deploymentHuman-in-the-loop feedback for AI
Features
- On-Premise DeploymentHuman-in-the-loop feedbackSecure language model enhancementSelf-improving with feedbackRapid model iterationFine-tuning with adaptersOpenAI API compatibilityEfficient knowledge infusionBlazing fast performanceOn-premise deployment for data securitySecure and self-improving language modelsInfuses knowledge with just 10 samplesBypasses context-window limitationsFine-tune models for specific behaviors or knowledgeRapid iteration with human-in-the-loop feedbackDataset augmentation for continuous improvementBlazing fast loading and stacking of fine-tuned adaptersSupports custom model deployment in VPC
What is Automorphic?
Automorphic is a platform offering secure, self-improving language models that allow for knowledge infusion with minimal data samples.How does Automorphic improve language models?
Automorphic uses fine-tuning and human-in-the-loop feedback to continuously improve language models.Can Automorphic be deployed on-premise?
Yes, Automorphic supports on-premise deployment, allowing you to keep your data safe within your VPC.Is Automorphic compatible with OpenAI API?
Yes, Automorphic is compatible with the OpenAI API, requiring no changes to your existing code.What makes Automorphic's language models self-improving?
Automorphic's models improve through human-in-the-loop feedback and dataset augmentation, allowing for continuous enhancement.What are the primary use cases for Automorphic?
Primary use cases include fine-tuning language models, knowledge infusion into AI models, and on-premise AI model deployment.Who can benefit from using Automorphic?
Professions such as data scientists, AI researchers, and machine learning engineers can benefit from using Automorphic.What is required to infuse knowledge into Automorphic's models?
Only 10 samples are needed to infuse knowledge into Automorphic's language models.How fast is the loading and stacking of adapters in Automorphic?
Automorphic enables blazing fast loading and stacking of fine-tuned adapters, focusing on tuning and feedback.Does Automorphic support custom models?
Yes, Automorphic supports the deployment of custom models, allowing for specific behavior or knowledge tuning.