Guide Labs
Interpretable foundation models for AI
December 29th, 2024
About Guide Labs
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 value...
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.
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