Large Language Model (LLM), Global Market Size Forecast, Top 10 Players Rank and Market Share (Internet Services - Other Internet Services)
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Large Language Model (LLM), Global Market Size Forecast, Top 10 Players Rank and Market Share | |
Product Definition: A large language model (LLM) is a type of language model notable for its ability to achieve general-purpose language understanding and generation. LLMs acquire these abilities by using massive amounts of data to learn billions of parameters during training and consuming large computational resources during their training and operation. LLMs are artificial neural networks (mainly transformers) and are (pre-)trained using self-supervised learning and semi-supervised learning. As autoregressive language models, they work by taking an input text and repeatedly predicting the next token or word. Up to 2020, fine tuning was the only way a model could be adapted to be able to accomplish specific tasks. Larger sized models, such as GPT-4, however, can be prompt-engineered to achieve similar results. They are thought to acquire embodied knowledge about syntax, semantics and "ontology" inherent in human language corpora, but also inaccuracies and biases present in the corpora. Notable examples include OpenAI's GPT models (e.g., GPT-3.5 and GPT-4, used in ChatGPT), Google's PaLM (used in Bard), and Meta's LLaMa, as well as BLOOM, Ernie 3.0 Titan, and Anthropic's Claude 2. According to the new market research report “Global Large Language Model (LLM) Market Report 2023-2029”, published by QYResearch, the global Large Language Model (LLM) market size is projected to reach USD 259.89 billion by 2029, at a CAGR of 141.7% during the forecast period. Market Drivers: Using large language models to generate content can save time for individuals and businesses that rely on text-based content. Instead of spending hours writing a single marketing email or blog post, you can use a tool like ChatGPT to create it in minutes. Restraint: The quality of the content that an LLM generates depends largely on how well it’s trained and the information that it’s using to learn. If a large language model has key knowledge gaps in a specific area, then any answers it provides to prompts may include errors or lack critical information. Opportunity: The "emergence" of large language models has given rise to general capabilities for solving complex problems, giving rise to this global wave of generative AI. For more information, please contact the following e-mail address: Email: global@qyresearch.com Website: https://www.qyresearch.com QYResearch founded in California, USA in 2007.It is a leading global market research and consulting company. With over 16 years’ experience and professional research team in various cities over the world QY Research focuses on management consulting, database and seminar services, IPO consulting, industry chain research and customized research to help our clients in providing non-linear revenue model and make them successful. We are globally recognized for our expansive portfolio of services, good corporate citizenship, and our strong commitment to sustainability. Up to now, we have cooperated with more than 60,000 clients across five continents. Let’s work closely with you and build a bold and better future.  | |
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2024-12-22 (0.829 sec)