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GPT-4 Outperforms Elite Crowdworkers, Saving Researchers $500,000 and 20,000 hours

A new study reveals that OpenAI's GPT-4 outperforms elite human annotators in labeling tasks, saving a team of researchers over $500,000 and 20,000 hours of labor while raising questions about the future of crowdworking. ....

Carnegie Mellon , Krystall Kuaffman , Approach Driven , Mechanical Turk , Reinforcement Learning Human Feedback ,

How to train your chatbot through prompt engineering

While most large language models like OpenAI's GPT-4 are pre-filled with massive amounts of information, 'prompt engineering' allows generative AI to be tailored for specific industry or even organizational use. ....

New South Wales , United States , Arun Chandrasekaran , Neil Lockhart Shutterstock , Gartner Chandrasekaran , Salesforce Einstein , Eno Reyes , Gartner Research , Marshall Choy , Sambanova Systems , Silicon Valley , Hugging Face , Reinforcement Learning Human Feedback ,