Mixed-Methods Design for Enhanced Model Interpretability

Innovative Research in AI Interpretability

We combine quantitative analysis and qualitative insights to enhance AI interpretability, utilizing advanced tools and public datasets for comprehensive understanding and user feedback integration.

A detailed and symmetrical text design with the word 'synthesis' prominently displayed in the center in a gothic-style font. The word is surrounded by circular text patterns repeating the word 'synthesis' in a smaller font size, creating a visually hypnotic effect. Smaller text underneath the central word reads 'A combination of elements from both the thesis...'

150+

15

Trusted by Experts

Proven Results

Explore

Advanced Interpretability Tools

We provide innovative tools for analyzing complex model outputs with a focus on interpretability and feedback.

Comparative Analysis Tools

Explore differences in interpretability between GPT-4 and GPT-3.5 through structured, comparative experiments and analysis.

A person is viewing a map with red data points on a computer monitor, likely indicating a geographical distribution. The image has a focus on technology and data analysis.

Ablation Studies

Perform detailed ablation studies by removing attention heads to assess their impact on model performance and output.

Utilize user feedback for real-world evaluation, ensuring the credibility and effectiveness of our interpretive methods.

User Feedback Insights

$Abstract representation of digital text overlay with questions about large language models, featuring a futuristic, stylized reflection and refracted light effect.$

Two people are working in a lab environment, both wearing lab coats. One person is seated and pointing at a computer screen, while the other is standing, looking at the screens. Multiple computer monitors display complex data, possibly related to scientific or medical research.

Contact Us

Reach out for inquiries about our mixed-methods research design.