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AutomorphicInfuse knowledge into language models with just 10 samples

Automorphic has invented a way to infuse knowledge into LLMs via fine-tuning (surpassing context window limitations), enabling developers to rapidly iterate on and successively improve custom models cheaply and efficiently.

2023-08-09
Active
Early
S23
3
B2B
United States of AmericaAmerica / Canada
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More About Automorphic

Automorphic Conduit: Infuse Knowledge into Language Models

Revolutionize Your Language Models with Automorphic Conduit

Key Features

  • Efficient Knowledge Infusion: Infuse knowledge into language models with just 10 samples.
  • Fine-Tuning: Bypass context-window limitations by fine-tuning models.
  • Adapter Training: Train adapters for specific behaviors or knowledge.
  • Human-in-the-Loop Feedback: Rapidly iterate on models with real-time feedback.
  • Dataset Augmentation: Continuously improve models with augmented datasets.
  • Blazing Fast Performance: Rapid loading and stacking of fine-tuned adapters.
  • OpenAI API Compatibility: Seamless integration with existing OpenAI API code.
  • On-Premise Deployment: Secure deployment for custom models in your VPC.

Use Cases

  • Enhanced Customer Support: Improve chatbot responses with fine-tuned language models.
  • Content Generation: Create more accurate and contextually relevant content.
  • Data Analysis: Enhance data interpretation and insights with specialized models.
  • Personalized Recommendations: Offer tailored suggestions based on user behavior.
  • Automated Workflows: Streamline operations with intelligent automation.

Pricing

Automorphic Conduit offers flexible pricing plans tailored to your needs. Contact us for detailed pricing information and to request a demo.

Teams

Automorphic Conduit is designed for teams looking to enhance their language models with efficient knowledge infusion and rapid iteration. Whether you're a small startup or a large enterprise, our solution scales to meet your needs, ensuring your data remains secure with on-premise deployment options.