- Gemini data analysis limitations: Google’s Gemini models struggle to process and analyze large datasets accurately, with low question-answering accuracy rates in tests.
- Context window capabilities: Gemini models can process up to 2 million tokens as context, but struggle with complex reasoning tasks and understanding implicit information.
- Performance comparison: Gemini 1.5 Pro and 1.5 Flash performed poorly in studies compared to other models, with question-answering accuracy not exceeding random chance.
- Critiques on generative AI: The limitations of generative AI, including Google’s Gemini models, are under scrutiny, with concerns about overpromising and under-delivering.
- Industry trends: Businesses are growing frustrated with generative AI limitations, leading to a decline in dealmaking, emphasizing the need for better benchmarks and third-party critique.
https://techcrunch.com/2024/06/29/geminis-data-analyzing-abilities-arent-as-good-as-google-claims/
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