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Cohere

This LLM University module explains how to use Amazon SageMaker, a fully managed service where you can build, train, and deploy ML models at scale.

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Cohere Transcribe Arabic: Open-Source Speech AICohere Turbocharge Your Chatbot with Intent RecognitionCohere Why You Need a Large Language Model for Intent RecognitionCohere Introducing: Cohere For AICohere The Cohere Platform is now publicly availableCohere Build a smart Slack bot with language modelsCohere Grafana Is Not Worried About AWS CommercializationThenewstack Cloud Systems: Deploying to Amazon ECSPulumi with Amazon EKS Auto Mode in PulumiPulumi re:Invent 2020 EKS Feature ReleasesPulumi Optimize Costs for Amazon S3 and Multi Cloud Object StorageDatadoghq Cloud regionsMotherduck Visualize CSV Data and Build a Dashboard to Track Your Amazon SpendingRetool Deploy AI Models on Amazon SageMaker using Pulumi Python IaCPulumi Amazon Firecracker: Isolating Serverless Containers and FunctionsAquasec Docker Business now available for purchase on the Amazon Web Services MarketplaceDocker Building platforms using kro for compositionCncf Grafana’s AWS Partnership Portends Better Performance and a Potential Boon in AdoptionThenewstack CPU Benchmarks for Cloud Providers: Intel vs. AMD vs. Amazon's Arm-Based Graviton2Thenewstack Tailscale log streaming now supports S3 destinationsTailscale