Abstract
In Chapter 3, we explored the architecture of neural conversational systems. In this chapter, we explore Large Language Models (LLMs) which are used in this architecture to process the user’s inputs and generate responses by the system.
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Notes
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For more discussion, see the paper Choosing the right language model for your NLP use case,https://towardsdatascience.com/choosing-the-right-language-model-for-your-nlp-use-case-1288ef3c4929
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Based on Julien Simon, Large Language Models: A New Moore’s Law? https://huggingface.co/blog/large-language-models
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For further details, see the paper Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond, https://arxiv.org/abs/2304.13712
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© 2024 The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature
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McTear, M., Ashurkina, M. (2024). Large Language Models. In: Transforming Conversational AI. Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-0110-5_4
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DOI: https://doi.org/10.1007/979-8-8688-0110-5_4
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