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Sparks of Artificial General Intelligence: Early experiments with GPT-4

📅 March 22, 2023 👤 Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan et al. 📖 arXiv (Cornell University) 📊 1,551 citations

🤖 Plain-English Summary

Artificial intelligence (AI) researchers have been developing and refining large language models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks, challenging our understanding of learning and cognition. In our exploration of GPT-4, we put special emphasis on discovering its limitations, and we discuss the challenges ahead for advancing towards deeper and more comprehensive versions of AGI, including the possible need for pursuing a new paradigm that moves beyond...

🔑 Key Findings

  • The latest model developed by OpenAI, GPT-4, was trained using an unprecedented scale of compute and data.
  • In this paper, we report on our investigation of an early version of GPT-4, when it was still in active development by OpenAI.
  • We contend that (this early version of) GPT-4 is part of a new cohort of LLMs (along with ChatGPT and Google's PaLM for example) that exhibit more general intelligence than previous AI models.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Mar 22, 2023
Journal arXiv (Cornell University)
Authors Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz
DOI 10.48550/arxiv.2303.12712
Citations 1,551
Source OpenAlex

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