Metal
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Pricing model
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Metal is a ready-to-use, fully-managed machine learning storage platform designed to simplify the implementation, experimentation, and utilization of embeddings within applications. It seamlessly integrates with various vector databases, manages the deployment of leading models for generating embeddings, and supports custom embeddings. Additionally, it provides OpenAI Ada for enhancing text intelligence and OpenAI CLIP for linking text and images.
Similar neural networks:
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Kuberns is an AI-driven cloud deployment platform that streamlines the deployment, scaling, and management of cloud-native applications without necessitating in-depth Kubernetes knowledge. It features one-click deployment, AI-enhanced autoscaling, integrated CI/CD pipelines, and multi-cloud compatibility, enabling development teams to concentrate on creating features rather than handling infrastructure. Companies opt for Kuberns to lower operational burdens, speed up deployment timelines, enhance reliability with self-healing features, and reduce cloud expenses through smart resource management.
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Cora is a tool crafted to turn your inbox into a more organized and insightful space. It eliminates irrelevant emails, showing only those that need your attention. Additionally, Cora composes replies in your own tone, considering your context, which cuts down the time spent on lengthy exchanges. Remaining emails are condensed into two daily summaries. This method allows users to concentrate on important matters, reducing the burden of email overload. Cora's goal is to lessen email disorder and transform your inbox into a streamlined narrative that effectively conveys essential information.
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Aviator is a platform designed to enhance developer productivity by simplifying software development processes. It automates redundant tasks, oversees code merges, supports effective code reviews, and offers actionable insights. Developed by former Google engineers, it accommodates both monorepo and microservice setups and integrates effortlessly with current toolchains. Engineering teams opt for Aviator to remove workflow obstacles, boost code quality, and speed up their development cycles, enabling developers to concentrate on creative problem-solving instead of handling process-related tasks.