Large Language Models (LLMs) are pivotal in the generative AI revolution, evolving significantly since their inception around 2014 with the introduction of the attention mechanism. Key advancements followed with the transformer model in 2017, leading to the prominence of models like OpenAI’s ChatGPT, which gained over 100 million users within two months of its launch in 2022. Today’s LLMs, such as Google’s BERT and Claude from Anthropic, excel in natural language processing, showcasing diverse applications in search and programming. Models like Cohere and DeepSeek-R1 focus on industry-specific tasks and complex reasoning, while newer iterations, like OpenAI’s GPT-4 and IBM’s Granite, emphasize multimodal capabilities. Open-source models such as Falcon and Vicuna foster innovation beyond corporate confines. Understanding these influential models is essential for navigating the fast-paced landscape of AI technologies. The continuous evolution of LLMs not only enhances AI capabilities but also shapes future applications across various sectors, fostering ongoing advancements in artificial intelligence.
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