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Google has pushed back the launch of its ambitious Gemini AI model, which was supposed to challenge OpenAI’s GPT-4, the most advanced language model in the world. According to The Information, Google CEO Sundar Pichai canceled the launch events planned for next week in California, New York, and Washington.
What is Google Gemini?
Google Gemini is a multimodal AI model that can understand and generate text, images, and other data types. Google announced Gemini at its I/O event in May, where it claimed that Gemini was “seeing impressive multimodal capabilities not seen in prior models.”
Google also said that Gemini was designed to be “highly efficient at tool and API integrations” and to “enable future innovations, like memory and planning.” To attract third-party developers, Google planned to offer Gemini in various sizes, including a lightweight “Gecko” version for mobile devices.
Why is Google Gemini delayed?
The main reason for the delay is that Gemini is not performing well in languages other than English. Google engineers discovered that Gemini lags behind GPT-4 in multilingualism and requires further development. Google has already begun testing smaller versions of Gemini, while the larger Gemini model is still in the works.
This is not the first time Google has postponed Gemini. It was previously reported that Google would delay the cloud version of Gemini. AI-powered products that were supposed to benefit from Gemini funding, such as the Bard chatbot, will now have to wait until next year.
Why is Google Gemini important?
Gemini could be one of Google’s most significant product launches in history. The AI model is intended to demonstrate that Google can compete with or outperform OpenAI while also creating a new Internet in which the flow of information shifts away from traditional search and the World Wide Web and towards chatbots.
At the same time, Gemini’s success would signal to the industry that OpenAI’s GPT-4 isn’t the final word, but that the underlying Transformer technology and scaling principle (more data, more training) still have room for advancement.
Google has a data and computing advantage over OpenAI, but it has yet to capitalize on it, in part because Microsoft is collaborating with OpenAI.
No company, big tech or innovative startup, closed source or open source, has been able to release a model comparable to GPT-4 since March 2023. Instead, the market is flooded with GPT-3.5 language models, a standard that now appears to be easily achievable.
Because of its larger, more complex, and more expensive architecture, GPT-4 is far more advanced. GPT-4 employs a network of interconnected AI models (a mix of Experts) rather than a single large model. Google Gemini is most likely based on the same idea. OpenAI CEO Sam Altman has already hinted at a release date for GPT-5, which will be much more advanced.
Because the complex architecture has a high cost for inference, OpenAI is attempting to reduce prices with models like GPT-4 Turbo, even if it means sacrificing some quality.
The question is how quickly Gemini will be integrated into Google services like Bard, Search, and Workspace.
How does Google plan to integrate Gemini into its services?
Google intends to incorporate Gemini into its services in a variety of ways, including:
- Adding multimodal capabilities to its existing AI-powered products, such as Bard, Google Docs, and Slides.
- Google Cloud Vertex AI is providing Gemini as a foundation model for developers to create new AI apps and APIs.
- Shifting the flow of information away from traditional search and the internet and towards Gemini-powered chatbots.
- Gemini’s applications are being expanded into new areas such as health, cybersecurity, and productivity.
Google has already begun rolling out Gemini to select businesses in early access5, with plans to make it available to the general public in 2024.
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