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Google Gemini is a family of generative AI models from Google, offering multimodal capabilities for text, image, and code tasks. It provides developer APIs and cloud-integrated services for building conversational agents, assistants, and content generation workflows. Gemini focuses on safety, grounding tools, and scalability for production use.
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Google Gemini is a family of generative multimodal AI models and services that can process text, code, images, audio, and video.
Google DeepMind introduced Gemini in December 2023 as a shared model family for multimodal tasks. It grew from Google research into large language and multimodal models and is integrated into Google products and developer platforms.
An application gives the model an instruction with text or other modalities. The model processes the shared context and produces a probable answer, structure, or code. Gemini and Cloud services add capabilities such as tool calls, grounding, and safety controls; the application and model remain responsible for data access and review.
Several media types can be processed in one shared request.
The model probabilistically produces answers, content, or code.
APIs and Google Cloud services connect models to applications and controls.
Gemini is useful for multimodal assistance, analysis, and embedded AI features. Model version, data rights, hallucinations, cost, latency, and security boundaries need application-specific review.
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