Innovative Research at Deconai Labs
At Deconai Labs, we conduct cutting-edge research in model behavior, focusing on sampling, annotation, and deconstructive modeling to enhance AI understanding and performance across various tasks and modalities.
Our Research Phases
Understanding Model Behavior
We utilize advanced techniques like causal graphs and self-explanation tagging to visualize and analyze the internal logic structures driving AI outputs, ensuring improved semantic coherence and reasoning consistency.
Model Behavior
Research phases include sampling, annotation, and behavior modeling.
Behavior Modeling
Utilizing language models to analyze internal cues and decision paths.
Weakness Analysis
Identifying structural weaknesses in model behavior through comprehensive evaluation.
Contact Us
Reach out for inquiries about our research phases and behavior modeling techniques in AI development.