Google's AI model, Gemini, which boasts a massive token capacity, has faced scrutiny regarding its data-analyzing abilities. Despite Google's claims of Gemini's advanced capabilities, two separate studies have indicated that the model struggles with accuracy and practical utility in real-world data analysis, falling behind competitors like OpenAI's GPT-4. Google continues to promote Gemini as a game-changing approach for realistic AI, blending data and enterprise-ready applications. The studies were reported by TechCrunch in 2024.
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Google's Gemini, despite its massive token capacity, struggles with accuracy and practical utility in real-world data analysis, lagging behind competitors like OpenAI's GPT-4. https://t.co/YsdlZbXekN
Gemini’s data-analyzing abilities aren’t as good as Google claims: Two separate studies investigated how well Google's Gemini models and others make sense out of an enormous amount of data. © 2024 TechCrunch. All rights reserved.… https://t.co/gSINne01N2 #AI #AInews #AItips
"Google's game-changing approach for a realistic AI: a perfect blend of data and dreams. Say goodbye to make-believe, welcome the enterprise-ready AI era. #AIInnovation 🔗https://t.co/ZNH1SAQaxJ"