Large Language Models (LLMs) such as GPT, Bard, and Llama have rapidly changed the landscape of AI, with significant market growth anticipated. As of 2033, the LLM market is expected to reach $140.8 billion. The rise of LLMs is attributed to advancements in neural network architectures, notably the Transformer introduced in 2017. These models can perform various tasks including text generation, translation, and coding. However, LLMs face challenges such as generating flawed text, inaccuracies in translations, and susceptibility to producing harmful content under certain conditions.
Large language models (LLMs) are critical to generative AI, evolving with deep learning, and projected to grow to $140.8 billion by 2033 at a CAGR of 40.7%.
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