Introduction:On December 6, 2023, Google unveiled its latest large language model, Gemini, however, a demo** sparked controversy over whether GeminiAI's performance was misrepresented. This article will delve into the actual performance of Gemini, the reasons behind its production, and the public reaction to this controversy.
Gemini Actual Performance:Gemini is billed as the "largest, strongest, and most versatile" large language modelwith strong multimodal understanding and interaction capabilities. It excels at multimodal tasks, including answering questions, translating languages, generating**, and creating art. Gemini surpassed OpenAI GPT-4 in the accuracy of answering open-ended questions, but was relatively inferior in tasks such as generating text.
ControversyDemo:Gemini's demo** demonstrated its flexible response and understanding of multimodal inputs such as voice and images, however, users found that it was not recorded in real time, but rather after multiple rounds of trial and editing. The interactive scenes in ** are all artificially set, skipping some prompts and reasoning processes, creating the illusion that Gemini is intelligent and agile for the audience.
Google's response:Google responded that all user prompts and outputs using Gemini Ultra are real, just shortened for brevity. Google says the purpose is to showcase the multimodal user experience built by Gemini and motivate developers. However, this response did not quell the doubts and dissatisfaction of the outside world about the authenticity of **.
Analysis and Reflection:Some analysts believe that Google may have exaggerated Gemini's performance in order to demonstrate AI capabilities, attract users, and increase market share. On the other hand, there are also those who believe that Google may be trying to cover up Gemini's flaws and avoid being questioned. Regardless of the original intentions, Google's approach raises concerns about the misuse and misdirection of AI technology.
Comparison of Gemini and GPT-4:Gemini excels in multimodal tasks, but is inferior to GPT-4 in some tasks. The comparison shows that Gemini is superior to GPT-4 in the field and the opposite, both have their advantages.
Gemini's release has sparked a discussion about the authenticity and transparency of AI technology. The way to dispel doubts is simple: Google can publish the full version**, provide a wider range of test results, and work with independent researchers to verify Gemini's performance. This will help build public trust in Gemini's true capabilities and drive a more transparent and trustworthy development of AI technology.