Google Gemini is not even as good as GPT-3.5 Turbo, researchers find

Key Points:

  • Google’s Gemini Pro, heavily promoted as a revolutionary AI product, falls short of expectations compared to OpenAI’s GPT-3.5 Turbo in terms of performance across various tasks.
  • The study also highlights the disappointing performance of Mistral’s Mixtral 8x7B, indicating potential shortcomings of open-source AI models compared to proprietary ones.
  • Despite Google’s upcoming release of the more powerful Gemini Ultra, experts and influencers maintain skepticism about Google’s current position in the AI landscape, with OpenAI’s GPT-4 being recognized as the superior AI model until the introduction of Gemini Ultra.

Summary:

The battle between AI models continues to intensify as Google’s latest Gemini Pro falls short of expectations compared to OpenAI’s GPT-3.5 Turbo, according to recent research published by a team from Carnegie Mellon University and BerriAI. The disappointing results raise concerns regarding Google’s competitiveness in the AI arena.

 

Google’s highly anticipated Gemini Pro, touted as a cutting-edge language model, was found to underperform in various tasks compared to OpenAI’s older model, GPT-3.5 Turbo, prompting skepticism about Google’s AI capabilities.

 

The study also analyzed Mistral’s Mixtral 8x7B model, which performed significantly worse than OpenAI’s GPT-3.5 Turbo, indicating a potential gap between open-source and proprietary AI models.

 

Despite Google’s upcoming release of Gemini Ultra in early 2024, experts and influencers are skeptical about Google’s current standing in the AI landscape, with many acknowledging OpenAI’s dominance, particularly with GPT-4, until the arrival of Gemini Ultra.

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