Chat GPT embeddings are used to represent text data in a high-dimensional vector space, allowing natural language models to understand and process text more effectively. By converting words, sentences, or paragraphs into numerical vectors, embeddings help AI models capture the semantic meaning of language, improving their ability to generate coherent and contextually relevant responses. Chat GPT embeddings enable chatbots and virtual assistants to better understand user queries and provide more accurate, human-like interactions, making them essential for enhancing the performance of conversational AI applications.
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