Copy That: Teaching AI to Speak the Right Language
Scalable approach to creating higher-quality AI content—improving accuracy and strengthening client relationships.
The art of the possible with AI—empowering AI startup founders, product managers, and builders to act decisively and seize opportunities based on newly published AI research.
Scalable approach to creating higher-quality AI content—improving accuracy and strengthening client relationships.
CoT-Self-Instruct generates and filters smarter prompts—enabling more reliable and business-ready large language models.
A practical framework for adapting existing video AI models into short-horizon forecasting tools—driving smarter, safer, and more proactive operations.
A new framework shows how frozen video models can be repurposed to predict motion, depth, and more—unlocking real-time foresight across multiple tasks.
A smarter approach to AI decision-making reveals how broader tool usage drives better results across complex, multi-step customer interactions.
How SPaRK helps large language models make better decisions by balancing accuracy with tool diversity through step-wise policy learning.
Reframing data privacy as a measurable risk can improve decision-making, model performance, and customer trust.
f-DP framework turns vague differential privacy parameters into actionable risk metrics for re-identification, attribute inference, and data reconstruction.
How rethinking motion data can reduce risk, improve performance forecasting, and future-proof decision-making.