Generative AI


Generative AI or generative artificial intelligence refers to a type of AI that can create various types of content including text, audio, music, images, videos, and code. This is powered by large models called foundation models that are trained on massive datasets to perform out-of-the-box tasks including classification, summarization, video and audio comprehension, prediction, Q&A, and more.

A Transformer Based Generative Chemical Language AI Model for Structural Elucidation of Organic Compounds

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Oct 25, 2024
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Evaluating AI-Generated Essays with GRE Analytical Writing Assessment

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Oct 24, 2024
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Microplastic Identification Using AI-Driven Image Segmentation and GAN-Generated Ecological Context

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Oct 25, 2024
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The Nature of Mathematical Modeling and Probabilistic Optimization Engineering in Generative AI

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Oct 24, 2024
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Provably Robust Watermarks for Open-Source Language Models

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Oct 24, 2024
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Assured Automatic Programming via Large Language Models

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Oct 24, 2024
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Watermarking Large Language Models and the Generated Content: Opportunities and Challenges

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Oct 24, 2024
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Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems

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Oct 24, 2024
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Denoising diffusion probabilistic models are optimally adaptive to unknown low dimensionality

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Oct 24, 2024
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Adapting MLOps for Diverse In-Network Intelligence in 6G Era: Challenges and Solutions

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Oct 24, 2024
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