Automate critical business tasks with Cohere's LLMs on AWS

See how you can seamlessly deploy Cohere’s large language models (LLMs) at scale on Amazon Web Services (AWS) to perform repetitive tasks, such as copywriting and text summarization, with greater accuracy and speed.

Generative artificial intelligence (AI) can help streamline enterprise tasks, but it can also introduce new concerns related to data security, performance, and cost. Cohere mitigates these challenges by providing simple-to-use LLMs on AWS, and a supporting platform to deploy them securely and privately.
Join this Spotlight Series event to see how Cohere’s customizable models—Command, Embed, and Rerank—and retrieval-augmented generation (RAG) capabilities can help you build LLM-powered applications.

You will learn how to:
• Leverage Cohere’s models to improve accuracy and speed for business tasks, such as text summarization, content generation, and data analysis.
• Improve efficiency across use cases and industries, such as retail and financial services.
• Access Cohere on AWS generative AI tools, such as Amazon Bedrock and Amazon SageMaker, to seamlessly deploy models at scale.

Learn more.

Speakers:
Pradeep Prabhakaran Customer Solution Architect Cohere
Shashi Raina Solution Architect–Generative AI AWS

Vendor:: AWS
Premiered:: Jun 18, 2024
Format:: Video
Type:: Webcast

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