Generative AI is rapidly advancing with models like ChatGPT, LLaMA, and BERT, driven by progress in deep learning, computing power, and extensive datasets. These advancements enable AI to generate increasingly sophisticated and human-like outputs, impacting industries from virtual assistants to autonomous vehicles and smart homes. Beyond individual applications, AI is reshaping societal, economic, and cultural landscapes. This whitepaper explores the transformative potential of Generative AI in scholarly publishing, offering insights into the evolution of language models, their real-world applications, and critical challenges. Key issues addressed include misinformation, plagiarism, authorship, deepfakes, and ethical concerns, highlighting the need for careful integration of AI into academic contexts.
Category: White Papers
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