Technology Prototypes
Turning research into innovative AI technologies.
At SHER DeepAI, we combine scientific research with practical AI engineering to develop technologies that make AI more explainable, transparent, and resource-efficient.
Our technology prototypes explore innovative approaches, validate new methods, and demonstrate how research-driven ideas can evolve into practical solutions for trustworthy and sustainable AI.
Our Technology Prototypes
Our prototypes address key challenges in AI explainability, transparency, and efficiency.
DeepXAI Toolbox 1.0 brings together Explainable AI (XAI) methods to provide insights into how AI models behave and why they produce certain predictions.
The prototype explores ways to make AI explanations more accessible and meaningful to different stakeholders.
XAI4LLM explores approaches to making Large Language Models (LLMs) more transparent and understandable.
The prototype investigates how explainability methods and analytical insights can help users better understand model responses and assess their quality.
DeepAI Compression explores advanced AI model compression techniques to reduce model size and resource requirements while maintaining model performance.
A particular focus is on lossless compression approaches that preserve the original model without information loss.
Explore What's Possible
Let's discuss how our research and engineering expertise could support your AI challenges.