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Lowering barriers to explainable AI: Control technique for LLMs reduces resource demands by over 90%
Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving their explainability and reliability is constrained by massive resource ...
Discovering new inorganic materials is central to advancing technologies in catalysis, energy storage, semiconductors, and ...
Tech Xplore on MSN
New system efficiently explains AI judgments in real-time
A research team led by Professor Jaesik Choi of KAIST's Kim Jaechul Graduate School of AI, in collaboration with KakaoBank ...
Trust only grows when companies can track their AI processes, fully explain the methods employed to arrive at outputs, and ...
The researchers also argue that explainable AI models are essential for ensuring fairness and accountability in policy design. In traditional statistical models, the relationships between variables ...
Banks will leverage Explainable AI (XAI) tools like SHAP and LIME to demystify complex models, making AI-driven decisions and ...
Explainable AI provides human users with tools to understand the output of machine learning algorithms. One of these tools, feature attributions, enables users to know the contribution of each feature ...
The impact of a drop on a solid surface is an important phenomenon that has various applications. Especially when the drop splashes, it can cause deterioration of printing and paint qualities, erosion ...
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