Google’s new version of Gemini can handle far bigger amounts of data

Google DeepMind has launched the next generation of its AI model Gemini, known as Gemini 1.5 Pro. It can handle large amounts of data, including inputs as large as 128,000 tokens. A limited group can even submit up to 1 million tokens, allowing it to perform unique tasks like analyzing historical transcripts and silent films. The model outperforms its previous versions and uses less computing power due to its mixture-of-experts architecture. The release is currently limited to developers and enterprise customers.

 Google’s new version of Gemini can handle far bigger amounts of data

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Introducing Gemini 1.5 Pro from Google DeepMind

Google DeepMind has launched the next generation of its powerful artificial intelligence model Gemini. The new Gemini 1.5 Pro is designed to handle large amounts of video, text, and images, offering practical solutions for developers and business customers.

Practical Solutions and Value

The enhanced ability of Gemini 1.5 Pro to work with large data inputs can revolutionize the way companies use AI:

  • Can handle inputs as large as 128,000 tokens, comparable to the best AI models currently available.
  • A limited group of developers will be able to submit up to 1 million tokens, enabling handling of significant amounts of data, such as 1 hour of video, 11 hours of audio, or 700,000 words of text.
  • Outperformed previous models on various benchmarks while using less computing power, offering efficiency and improved performance.
  • Operates across modalities, resembling human behavior, and can provide faster responses through its mixture-of-experts architecture.

Implementing AI at Your Company

If you want to evolve your company with AI and stay competitive, consider using Google’s new Gemini 1.5 Pro to handle larger amounts of data. Consider the following steps to leverage AI for your business:

  1. Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI.
  2. Define KPIs: Ensure your AI endeavors have measurable impacts on business outcomes.
  3. Select an AI Solution: Choose tools that align with your needs and provide customization.
  4. Implement Gradually: Start with a pilot, gather data, and expand AI usage judiciously.

Spotlight on a Practical AI Solution

Consider the AI Sales Bot from itinai.com/aisalesbot, designed to automate customer engagement 24/7 and manage interactions across all customer journey stages.

Discover how AI can redefine your sales processes and customer engagement. Explore solutions at itinai.com.

For AI KPI management advice, connect with us at hello@itinai.com. And for continuous insights into leveraging AI, stay tuned on our Telegram channel or Twitter.

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