There is a recent paper in Nature, Emergent Analogical Reasoning in Large Language Models, where the authors stated that, "We found that GPT-3 displayed a surprisingly strong capacity for abstract pattern induction, matching or even surpassing human capabilities in most settings; preliminary tests of GPT-4 indicated even better performance. Our results indicate that large language models such as GPT-3 have acquired an emergent ability to find zero-shot solutions to a broad range of analogy problems."
You aren’t imagining it.
Machine learning has undoubtedly emerged as a transformative technology, reshaping industries and driving innovation across the globe.
As the global healthcare industry faces mounting challenges, there is a growing need for innovative solutions.
Talent acquisition is expensive. According to Toggl, it costs American business owners around $4,000 to hire each new employee.
Artificial intelligence (AI) and machine learning (ML) are increasingly being used in the field of astrobiology to help in the search for life in space.
The use of artificial intelligence (AI) in precision medicine has the potential to revolutionize the way we diagnose, treat, and prevent diseases, ultimately leading to improved patient outcomes and a more efficient healthcare system.