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pro vyhledávání: '"Schmidt, Douglas C."'
The rise of large language models (LLMs) is revolutionizing information retrieval, question answering, summarization, and code generation tasks. However, in addition to confidently presenting factually inaccurate information at times (known as "hallu
Externí odkaz:
http://arxiv.org/abs/2304.12512
This paper presents prompt design techniques for software engineering, in the form of patterns, to solve common problems when using large language models (LLMs), such as ChatGPT to automate common software engineering activities, such as ensuring cod
Externí odkaz:
http://arxiv.org/abs/2303.07839
Autor:
White, Jules, Fu, Quchen, Hays, Sam, Sandborn, Michael, Olea, Carlos, Gilbert, Henry, Elnashar, Ashraf, Spencer-Smith, Jesse, Schmidt, Douglas C.
Prompt engineering is an increasingly important skill set needed to converse effectively with large language models (LLMs), such as ChatGPT. Prompts are instructions given to an LLM to enforce rules, automate processes, and ensure specific qualities
Externí odkaz:
http://arxiv.org/abs/2302.11382
Publikováno v:
Journal of Machine Learning Theory, Applications and Practice 2023
Translating natural language into Bash Commands is an emerging research field that has gained attention in recent years. Most efforts have focused on producing more accurate translation models. To the best of our knowledge, only two datasets are avai
Externí odkaz:
http://arxiv.org/abs/2302.07845
Autor:
Fu, Quchen, Chukka, Ramesh, Achorn, Keith, Atta-fosu, Thomas, Canchi, Deepak R., Teng, Zhongwei, White, Jules, Schmidt, Douglas C.
Publikováno v:
Journal of Machine Learning Theory, Applications and Practice (2023)
GPUs have been favored for training deep learning models due to their highly parallelized architecture. As a result, most studies on training optimization focus on GPUs. There is often a trade-off, however, between cost and efficiency when deciding o
Externí odkaz:
http://arxiv.org/abs/2206.10034
Research in the past several years has boosted the performance of automatic speaker verification systems and countermeasure systems to deliver low Equal Error Rates (EERs) on each system. However, research on joint optimization of both systems is sti
Externí odkaz:
http://arxiv.org/abs/2203.06517
Voice assistants, such as smart speakers, have exploded in popularity. It is currently estimated that the smart speaker adoption rate has exceeded 35% in the US adult population. Manufacturers have integrated speaker identification technology, which
Externí odkaz:
http://arxiv.org/abs/2109.02774
An emerging trend in audio processing is capturing low-level speech representations from raw waveforms. These representations have shown promising results on a variety of tasks, such as speech recognition and speech separation. Compared to handcrafte
Externí odkaz:
http://arxiv.org/abs/2109.02773
Known for its decentralized and tamper-aware properties, blockchain is attractive to enhance the infrastructure of systems that have been constrained by traditionally centralized and vendor-locked environments. Although blockchain has commonly been u
Externí odkaz:
http://arxiv.org/abs/2010.01172