Natural language processing for electronic design automation / edited by Mathias Soeken and Rolf Drechsler

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TextPublication details: Cham, Switzerland : Springer, 2020Description: 111 pISBN:

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Current library	Call number	Status	Barcode
UMT Main Campus	006.35 NAT- (Browse shelf(Opens below))	Available	138974

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Previous	006.35 HVI-S Supervised machine learning for text analysis in R /	006.35 MAC- Machine learning and deep learning in natural language processing /	006.35 MCT-T Transforming conversational AI : exploring the power of large language models in interactive conversational agents /	006.35 NAT- Natural language processing for electronic design automation /	006.35 PHO-P Prompt engineering for generative AI : future-proof inputs for reliable AI outputs at scale /	006.35 ROT-T Transformers for natural language processing and computer vision : explore generative AI and large language models with Hugging Face, ChatGPT, GPT-4V, and DALL-E3 /	006.35 SEJ-C ChatGPT and the future of AI : the deep language revolution /	Next

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