We developed VL-InterpreT, an interactive tool that provides novel visualizations and analysis for interpreting the attentions and hidden representations in multimodal transformers. Our paper on VL-InterpreT won the Best Demo Award at CVPR 2022.
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Neural networks news
Intel NN News
- Curious Case of Chain of Thought: Improving CoT Efficiency via Training-Free Steerable Reasoning
Researchers from the University of Texas at Austin and Intel Labs investigated chain-of-thought […]
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Ramtin Davanlou, CTO of the Accenture and Intel Partnership, explores what it really takes for […]
- Intel Labs Works with Hugging Face to Deploy Tools for Enhanced LLM Efficiency
Large Language Models are revolutionizing AI applications; however, slow inference speeds continue […]
- Curious Case of Chain of Thought: Improving CoT Efficiency via Training-Free Steerable Reasoning
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