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SuperAnnotate Testimonials
“The fact that SuperAnnnotate had a local dedicated team of professionals sped up the annotation performance and improved the quality of instrument annotations. That, combined with our local QA team, made a combination of 1+1 makes 3.”
“Before deploying LLM as a judge in your use case, ensure it's grounded by human feedback. SuperAnnotate has been an invaluable partner in creating the golden datasets needed to benchmark our models and in enabling us to craft high-quality prompts and instructions for our LLM Judges.”
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Iguazio brings data science to life, with a platform for enterprises to automate MLOps and cut the time to impact of AI projects. With the Iguazio MLOps Platform, data science teams can collaborate together in one place to develop AI models at scale and in real time, deploy them anywhere (multi-cloud, on-prem or edge), and manage them in production.
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Intel Tiber AI Studio is an AI OS, transforming the way enterprises manage, scale and accelerate AI and data science development from research to production. The code-first platform is built by data scientists, for data scientists and offers unrivaled flexibility to run on-premise or cloud. From advanced MLOps to continual learning, cnvrg.io brings top of the line technology to data science teams so they can spend less time on DevOps and focus on the real magic - algorithms. Since using cnvrg.io, teams across industries have gotten more models to production resulting in increased business value.
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NVIDIA Run:ai accelerates AI and machine learning operations by addressing key infrastructure challenges through dynamic resource allocation, comprehensive AI life-cycle support, and strategic resource management. By pooling resources across environments and utilizing advanced orchestration, NVIDIA Run:ai significantly enhances GPU efficiency and workload capacity. With support for public clouds, private clouds, hybrid environments, or on-premises data centers, NVIDIA Run:ai provides unparalleled flexibility and adaptability.
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