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Guide Labs
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Guide Labs
Interpretable foundation models for AI
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Date Added: May 3, 2024
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Description
Guide Labs specializes in the development of interpretable foundation models for AI. These models, including LLMs, Diffusion models, and large-scale classifiers, have the ability to explain and steer a model's output using human-understandable features. They provide reliable prompt attribution, indicating what part of the prompt is important, and can identify tokens in the pre-training and fine-tuning data. Guide Labs aims to address the challenges of debugging and compatibility with human values, improving the reliability and trustworthiness of AI applications. Their technology introduces a paradigm shift in AI development, ensuring that the reasoning processes of their models are transparent and easily navigable for better understanding and decision-making.
Key Features
- Explain and steer a model's output using human-understandable features.
- Provide reliable prompt attribution.
- Identify important tokens in the pre-training and fine-tuning data.
- Improve reliability and trustworthiness of AI applications.