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Google Cloud's Vertex AI has recently introduced the advanced Llama-4 Maverick 17B-128E Instruct model, a powerful new member of Meta's Llama 4 family. With its innovative Mixture-of-Experts (MoE) architecture featuring 17 billion active parameters distributed across 128 expert components, this model is engineered for high-efficiency performance,
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Google Cloud's Vertex AI has introduced an exciting new managed AI endpoint: the Llama-4-Scout-128B-16E-Instruct-MAAS. Leveraging Meta’s latest advancements in multimodal AI, this model brings powerful performance, efficient inference, and robust multimodal capabilities directly to your applications, all at competitive pricing. Exploring the Vertex AI Llama-4-Scout-128B-16E-Instruct-MAAS The Llama-4-Scout-128B-16E-Instruct-MAAS
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Google Cloud's Vertex AI has recently introduced the Llama-4 Maverick 17B-16E-Instruct-MAAS, a cutting-edge large language model (LLM) developed by Meta, now available as a fully managed service. Designed to offer robust performance, this model significantly enhances applications involving complex reasoning, multimodal capabilities, and extensive context requirements. Key Features
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Google Cloud has officially released the Vertex AI/Llama-4-Scout-17B-16E-Instruct model as a Managed API Service (MaaS) on Vertex AI as of April 30, 2025. This advanced model from Meta represents a significant step forward in multimodal large language model (LLM) technology, bringing cutting-edge reasoning and analysis capabilities directly to developers
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Google recently unveiled its most advanced AI model yet, Gemini 2.5 Pro Experimental (gemini-2.5-pro-exp-03-25), available soon on Vertex AI. Designed to excel in complex reasoning, coding, math, and science tasks, this model sets a new standard in AI capabilities. Enhanced Intelligence and Capabilities Gemini 2.5 Pro Experimental
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As AI applications continue to evolve, businesses increasingly rely on multimodal data—combining text, images, videos, and audio—to enhance user experiences and extract deeper insights. Google's Vertex AI has recently introduced a powerful new embedding model, MultimodalEmbedding@001, designed specifically to handle diverse data types within one
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In the rapidly evolving landscape of artificial intelligence, Vertex AI's Multimodalembedding stands out as a groundbreaking solution for developers and businesses alike. This new large language model (LLM) offers a unique combination of cost-effectiveness and powerful capabilities, making it an attractive option for those looking to leverage AI
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In the rapidly evolving world of artificial intelligence, the need for efficient and scalable solutions is paramount. Enter Gemini 2.0 Flash-Lite, the latest addition to the Gemini 2.0 lineup, now available in public preview via Google AI Studio and Vertex AI. Designed with cost-sensitive applications in mind, Flash-Lite
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In the rapidly evolving world of artificial intelligence, the introduction of Vertex AI's Mistral-Small-2503 (or Mistral Small 3.1) marks a significant milestone. This large language model (LLM) is designed to meet the demands of modern applications with its impressive suite of features and capabilities. Key Features of
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The latest introduction to the Vertex AI lineup is the Mistral Small 3.1 (25.03), a powerhouse in the realm of open-source language models. This model is designed to offer superior performance, surpassing similar small proprietary models with its enhanced capabilities. Whether you are a developer, data scientist, or
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In the ever-evolving landscape of artificial intelligence, Vertex AI continues to make strides with its Textembedding-Gecko models. These models, integral to the Vertex AI text embedding API, leverage dense vector representations to create meaningful text embeddings. By capturing the semantic essence of text, they enable more accurate similarity searches that
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The world of artificial intelligence is ever-evolving, and Google’s latest offering, the Text-Embedding-Large-Exp-03-07 model, is a testament to this progress. Commonly known as Gemini Embedding, this model is setting new standards in text embedding technology. Announced on March 7, 2025, and available through the Gemini API and Vertex AI,