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HyperLLM: The Next Generation of Large Language Models with Multimodal Capabilities

2025-02-10

Abstract excerpt

Abstract Large language models (LLMs) can process and produce text with high accuracy by utilizing advanced architectures based on deep neural networks, especially transformers. Using self-supervised learning and massive datasets, these models can extract complex semantic relationships and perform tasks such as machine translation, text summarization, question answering, and multimodal learning. However, current l...

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Literature Corpus work
784a151a-6dee-5490-9a70-70c90d326c50
DOI
10.20944/preprints202502.0662.v1
Open publication

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