Google’s most advanced AI model, Gemini 1.5 Pro, has just been launched in over 180 countries, including India. With native audio understanding, system instructions, JSON mode, and more, this new model marks a significant milestone in artificial intelligence. Let’s explore how this release unlocks new possibilities for developers worldwide.
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Unlocking New Use Cases with Enhanced Modalities
Gemini 1.5 Pro introduces native audio understanding, expanding its input modalities to include speech recognition. Additionally, the model can now reason across both image and audio inputs for videos. This paves the way for more comprehensive data analysis and interpretation.
Gemini API Enhancements
Responding to developer feedback, Google has introduced several improvements to the Gemini API. Developers now have access to system instructions, enabling them to guide the model’s responses according to specific use cases. Moreover, the new JSON mode facilitates structured data extraction from text or images, offering greater flexibility and control.
Also Read: Google Introduces Gemini 1.5: The Next Evolution in AI Models
Introducing Next-Generation Text Embedding
With the release of the text-embedding-004 model, developers gain access to a next-generation text embedding model via the Gemini API. This model boasts improved retrieval performance, outperforming existing models on benchmark tests.
Gemini Pro 1.5 Public Preview on Vertex AI
Google’s Gemini Pro 1.5 is now available in public preview on Vertex AI, Google’s enterprise-focused AI development platform. Offering a context window of up to 1 million tokens, Gemini Pro 1.5 surpasses its predecessors in processing capability. It opens up new possibilities for tasks ranging from code analysis to natural language understanding.
Also Read: Build, Deploy, and Manage ML Models with Google Vertex AI
Our Say
Gemini 1.5 Pro is an embodiment of Google’s latest advancements in AI. It underscores the company’s commitment to pushing the boundaries of technology. It equips developers with enhanced tools and capabilities, empowering innovation. With this model, Google aims to drive meaningful progress in AI-driven applications. As Gemini continues to evolve, we can expect further breakthroughs that will shape the future of artificial intelligence.
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Sabreena Basheer is an architect-turned-writer who's passionate about documenting anything that interests her. She's currently exploring the world of AI and Data Science as a Content Manager at Analytics Vidhya.
