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AI-RAG Solutions: Hallucination-Free or Not? Stanford University Researchers Evaluate the Dependability of AI in Legal Research and Face Challenges with Illusions and Precision

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedJune 4, 202429Views0Likes0Comments
Artificial Intelligence (AI) is increasingly being used in legal research and document drafting, aimed at improving efficiency and accuracy. However, concerns regarding the reliability of these tools persist, especially given the potential for the creation of false or misleading information, referred to as "hallucinations". This issue is of particular concern given the high-stakes nature of…

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Navigational Guidance and Prejudices in LLMs: Maneuvering through the Complexities of Persona Representation

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 4, 202433Views0Likes0Comments
Language and Large Model (LLM) research has shifted focus to steerability and persona congruity with complexities, challenging previous research simply based on one-dimensional personas or multiple-choice formats. A persona's intricacy and its potential to multiply biases in LLM simulations when there's lack of alignment with typical demographic views is now recognized. A recent research by…

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Knock Knock: An Innovative Python Library Allows You to Receive Alerts Once Your Training is Finished With Only Two Extra Lines of Code

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedJune 4, 202433Views0Likes0Comments
Deep learning (DL) model training often presents challenges due to its unpredictable and time-consuming nature. Determining when a model will finish training or foreseeing if it may crash unexpectedly can be difficult, leading to inefficiencies, especially during manual monitoring of the training process. While some techniques, such as early stopping and logging systems, do exist…

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