Generated by Gemini:
The Google blog post you linked introduces Gemini, Google's latest and most capable AI model at the time of the post. Here's a breakdown of the key points:
What is Gemini?
- Multimodal model: Gemini can handle information across different modalities like text, images, and code.
- Optimized for scale: It comes in different sizes (Ultra, Pro, Nano) to cater to various performance and efficiency needs.
- Safety focus: Google emphasizes having built safeguards into Gemini to protect against bias, toxicity, and other potential risks.
Key Improvements with Gemini
- Speed on TPUs: Gemini runs faster on Google's custom-designed TPUs (Tensor Processing Units), which are AI accelerators.
- Scaling AI cost-efficiently: The increased speed helps drive down computing costs when scaling up AI models.
Responsible AI Approach
Google outlines their commitment to ethical AI development in these points:
- Alignment with Google's AI principles: Gemini adheres to the company's guidelines for safe and responsible AI practices.
- Safety evaluations: They've performed the most extensive safety evaluations for Gemini out of any Google AI model to date.
Let me know if you want to delve into any particular aspect of Gemini!
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