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Cohere Command R and R+ are now accessible on Amazon SageMaker JumpStart.

Amazon SageMaker, Amazon SageMaker JumpStart, Announcements, Artificial Intelligence, UncategorizedApril 30, 202441Views0Likes0Comments
Cohere has teamed up with Amazon Web Services (AWS) to offer its Command R and R+ models on SageMaker JumpStart, a suite of capabilities of the SageMaker end-to-end machine learning (ML) platform. Both models are designed to excel at real-world enterprise-level applications and are optimized for retrieval-augmented generation (RAG) workflows – tasks that involve conversational…

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Command R and R+ from Cohere are now accessible on Amazon SageMaker JumpStart.

Amazon SageMaker, Amazon SageMaker JumpStart, Announcements, Artificial Intelligence, UncategorizedApril 30, 202442Views0Likes0Comments
Cohere, in collaboration with Amazon, has made available its foundational models of Command R and R+ on Amazon SageMaker JumpStart, a system allowing users to deploy and run inferences. These models are the latest in retrieval augmented generation (RAG), delivering enterprise-grade workloads through efficient, accurate, and scalable language models. The tool supports multiple languages, including…

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Slack provides an original and secure AI system, powered by Amazon’s SageMaker JumpStart.

Amazon SageMaker, Amazon SageMaker JumpStart, Announcements, Artificial Intelligence, Intermediate (200), UncategorizedApril 19, 202436Views0Likes0Comments
Slack, now part of Salesforce, has joined forces with Amazon SageMaker JumpStart to introduce AI services that will improve data searching, summarization, and security for users. The collaboration involves leveraging SageMaker JumpStart's large language models (LLMs) in a way that data stays within Slack's infrastructure and does not get shared with external model providers. The…

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Efficient scalability and distributed training using the Model Parallel and Data Parallel Libraries of Amazon SageMaker.

Amazon Machine Learning, Amazon SageMaker, Intermediate (200), UncategorizedApril 17, 202431Views0Likes0Comments
Distributed deep learning for extensive language models (LLMs) continues to make considerable advancements, primarily since the unveiling of ChatGPT in 2022. These models continue to grow with billions or trillions of parameters, which often cannot fit within a single acceleration device or node due to memory constraints. Hence, customers must distribute their workloads across hundreds…

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