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- 🤖 Google's Gemini vs. OpenAI's ChatGPT 4
🤖 Google's Gemini vs. OpenAI's ChatGPT 4
Is Google too late to the game?
Neon Pulse Team
December 14, 2023
Good morning and welcome to the latest edition of neonpulse!
Today, we’re talking about how Google’s new AI model compares with OpenAI’s GPT-4. Let’s dive in!
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Google’s Gemini: A New AI Contender Challenges GPT-4’s Supremacy
Google's Gemini, the latest AI model from Google DeepMind, is a significant development in the field of AI, although it may not represent a monumental leap beyond existing technologies. Gemini has been highly anticipated as a response to OpenAI's GPT-4, with Google aiming to challenge other AI leaders. According to Google DeepMind, Gemini outperforms GPT-4 in 30 out of 32 standard performance measures, but the differences between them are relatively narrow. This achievement consolidates the best of current AI capabilities into one powerful package, showing many strengths but few groundbreaking innovations.
Gemini is a multimodal AI system, trained to handle various inputs including text, images, and audio. It can integrate these different formats to address a wide range of topics, from everyday household queries to complex academic subjects. Demonstrations of Gemini’s capabilities include updating charts with new research data and interpreting cooking processes through visual and speech inputs, showcasing its practical application in diverse contexts.
Despite its achievements, Gemini’s superiority over GPT-4 is not entirely clear-cut. While it performs better in benchmarks like the MMLU (massive multitask language understanding), the practical difference for average users might be minimal. Gemini scores higher than GPT-4 in text-based questions and marginally better in multimodal queries, but experts note that its capabilities in language and coding outperform its performance in image and video tasks. This suggests that while Gemini is a highly sophisticated AI system, it may not be substantially more capable than GPT-4 in all respects.
Google has focused on making Gemini more factually accurate and responsive to user feedback, aiming to mitigate the issue of AI 'hallucinations' or generating incorrect information. However, without significant changes to the underlying technology, challenges like hallucinations remain a concern for large language models.
Google's Gemini represents a significant stride in AI development, merging various capabilities into a single, powerful system. However, the model's actual impact and differentiation from existing technologies, particularly for average users, might be more subtle than transformative.
Who do you think will win the race to AI supremacy 👀 |
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