Data exploration with LLMs

Data exploration is a crucial and foundational step in data analysis, allowing researchers to gain a comprehensive understanding of their datasets and uncover significant insights. With the emergence of LLMs like ChatGPT, researchers can harness the power of natural language processing to facilitate data exploration.

As we mentioned earlier, generative AI models such as ChatGPT have the ability to understand and generate human-like responses, making them valuable tools for enhancing research productivity. Asking our questions in natural language and getting responses in digestible pieces and shapes can be a great boost to analysis.

LLMs can help explore textual data and other forms of data, such as numerical datasets or multimedia content. Researchers can leverage ChatGPT’s capabilities to ask questions about statistical trends in numerical datasets or even query visualizations for image classification tasks.

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