Fort Collins, Colorado, May 12, 2024 (GLOBE NEWSWIRE) --
The rise in demand for AI and machine learning techniques drives the large language model market.
The market for large language models is witnessing significant growth, driven by the growing demand for advanced natural language processing (NLP) solutions across diverse industries. Organizations increasingly acknowledge NLP's potential to automate tasks, elevate customer experiences, and glean valuable insights from unstructured text data. The proliferation of chatbots, virtual assistants, and sentiment analysis tools has further spurred the adoption of large language models, given their crucial role in comprehending and generating human-like text.
The development and deployment of large language models have been facilitated by strides in computing power and the accessibility of cloud-based infrastructure. Training these models necessitates substantial computational resources, traditionally accessible only to significant tech conglomerates. However, the widespread availability of cloud computing and the declining costs of high-performance hardware have democratized access, enabling smaller entities to harness large language models. Initiatives like the U.S. Department of Energy's Exascale Computing Project, aimed at developing supercomputers capable of executing a quintillion calculations per second by 2021, are poised further to expedite the expansion of the large language model market.
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Segmentation Overview:
The large language model market has been segmented into offering, deployment, modality, application, and region.
Software is the leading segment offering and is projected to attain a significant share in the forecast period.
Customer service automation is the leading application for the LLM market.
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Large Language Model Market Report Highlights:
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