Use Zilliz Cloud and Voyage AI to build a #RAG pipeline. 🤝 This guide will show you how to: ▶️ Integrate the Zilliz Cloud and Voyage AI embedding models for streamlined embedding generation and retrieval. ▶️ Use this integration and Cohere (the LLM) to build a RAG application. 🔗 https://bit.ly/3zJtDjE
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Use Zilliz Cloud and Voyage AI to build a #RAG pipeline. 🤝 This guide will show you how to: ▶️ Integrate the Zilliz Cloud and Voyage AI embedding models for streamlined embedding generation and retrieval. ▶️ Use this integration and Cohere (the LLM) to build a RAG application. 🔗 https://bit.ly/3zJtDjE
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Use Zilliz Cloud and Voyage AI to build a #RAG pipeline. 🤝 This guide will show you how to: ▶️ Integrate the Zilliz Cloud and Voyage AI embedding models for streamlined embedding generation and retrieval. ▶️ Use this integration and Cohere (the LLM) to build a RAG application. 🔗 https://bit.ly/3zJtDjE
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Anthropic’s new Claude 3 models are coming to Google Cloud Vertex AI. Choice is a very good thing. A platform to build, deploy and manage AI securely is also a very good thing. Learn how to sign up for access Claude 3 models 🔗
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Strategic Partnerships | Transforming Technologies I Business Development I Customer Engagement I Danish/Swedish Native I ONO
Our news about OCI Generative AI service now generally available with choice of models from Cohere and Meta in the cloud and on-premises (DK article); https://lnkd.in/dDVu6ghy
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CloudNation knows how to unleash the power generative AI in the public cloud ☁️🚀 Generative Artificial Intelligence (AI) is reshaping industries, and the power of innovation is now at your fingertips through public cloud services! 💻☁️ Dive into our latest blog post where we unravel the landscape of Generative AI in the public cloud, showcasing its vast opportunities and applications. Join the conversation and stay ahead of the curve! Read the full blog post here:
The Art of Automation: Generative AI in Public Cloud Environments
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Faster is better
#generativeAI models have grown 10x in parameters per year for the last five years 🤯 That's why we developed AI Hypercomputer, powered by Cloud TPU v5p—the most powerful, scalable, and flexible TPU to date!
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"For me, having the information from those notes really made the difference" 🌟 Christopher Pond shares the quick win that CPS experienced just days after signing up for Cloud Contracts 365. 🚀 Learn how CC365 can help your business here: https://lnkd.in/eMnKUBxb #CloudContracts365 #CC365 #CPS #clienttestimonial #casestudy #AI #contractreview
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Google Cloud posted this few hours ago...... This really mind blowing. Technology is really moving very fast. The question is ARE YOU MOVING FAST ALONGSIDE? ASK YOURSELF THAT QUESTION AND TELL ME WHAT YOU have to say in the comment section #tecnology #speed #linkedin #innovation #future
#generativeAI models have grown 10x in parameters per year for the last five years 🤯 That's why we developed AI Hypercomputer, powered by Cloud TPU v5p—the most powerful, scalable, and flexible TPU to date!
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#generativeAI models have grown 10x in parameters per year for the last five years 🤯 That's why we developed AI Hypercomputer, powered by Cloud TPU v5p—the most powerful, scalable, and flexible TPU to date!
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Co-Founder of Altrosyn and DIrector at CDTECH | Inventor | Manufacturer
2moThis guide highlights the synergy between Zilliz Cloud's vector database prowess and Voyage AI's powerful embeddings. Leveraging Cohere for query understanding adds another layer of sophistication to this RAG pipeline. On a deeper level, this means we can achieve truly semantic search, going beyond keyword matching. Have you considered fine-tuning the Cohere model on a domain-specific dataset to further enhance its contextual understanding within your Zilliz Cloud environment?