Using a large-scale dataset holding a million real-world conversations to study how people interact with LLMs

A team of computer scientists at the University of California Berkeley, working with one colleague from the University of California San Diego and another from Carnegie Mellon University, has created a large-scale dataset of 1 million real-world conversations to study how people interact with large language models (LLMs). They have published a paper describing their work and findings on the arXiv preprint server.

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