Sora for Intelligent Vehicles: A Step from Constraint-based Simulation to Artificiofactual Experiments through Dynamic Visualization
Scenario simulation plays an integral role in the development, application, and management
of intelligent vehicles. However, planning agents and customizing scenarios for complex …
of intelligent vehicles. However, planning agents and customizing scenarios for complex …
Evaluating the cybersecurity robustness of commercial llms against adversarial prompts: A promptbench analysis
T Goto, K Ono, A Morita - Authorea Preprints, 2024 - techrxiv.org
This study presents a comprehensive evaluation of the cybersecurity robustness of five
leading Large Language Models (LLMs)-ChatGPT-4, Google Gemini, Anthropic Claude …
leading Large Language Models (LLMs)-ChatGPT-4, Google Gemini, Anthropic Claude …
Enhancing contextual understanding of mistral llm with external knowledge bases
M Sasaki, N Watanabe, T Komanaka - 2024 - researchsquare.com
This study explores the enhancement of contextual understanding and factual accuracy in
Language Learning Models (LLMs), specifically Mistral LLM, through the integration of …
Language Learning Models (LLMs), specifically Mistral LLM, through the integration of …
[PDF][PDF] Measuring the Interpretability and Explainability of Model Decisions of Five Large Language Models
K Fujiwara, M Sasaki, A Nakamura, N Watanabe - osf.io
This study conducts a comprehensive analysis of the interpretability and explainability of five
leading Large Language Models (LLMs): TripoSR by Stability AI, Gemma-7b by Google …
leading Large Language Models (LLMs): TripoSR by Stability AI, Gemma-7b by Google …