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Artificial intelligence (AI) is rapidly integrating into society, with a projected annual growth rate of 37.3% from 2023 to 2030. Large language models (LLMs), particularly ChatGPT from OpenAI, have gained immense popularity, reaching 1 million users within five days of launch. The LLM market is expected to grow significantly, from $6.1 billion in 2024 to $64.9 billion by 2032.
LLMs utilize machine learning, specifically deep learning, to process and generate text, code, and perform sentiment analysis. They undergo extensive training, including pre-training and fine-tuning, to enhance their capabilities. The applications of LLMs range from copywriting and translation to knowledge base answering and code generation, showcasing their versatility in various domains.
• AI expected to grow at 37.3% annually from 2023 to 2030.
• LLM market projected to reach $64.9 billion by 2032.
LLMs are trained on vast datasets to produce contextually relevant content.
Deep learning enables LLMs to learn distinctions autonomously without human intervention.
Brands utilize sentiment analysis to gauge customer emotions and tailor responses accordingly.
OpenAI's ChatGPT has become a leading example of LLM applications in various fields.
MongoDB's insights into deep learning contribute to understanding LLM architectures.
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