Cohere has launched a new educational module, Cohere on AWS, to help users harness the power of large language models (LLMs). The module is part of the company’s LLM University and consists of an eight-chapter course that guides users through building generative AI applications on Amazon’s cloud platform. The course covers various topics, including an introduction to Amazon Bedrock, a fully managed service for building generative AI applications, and Amazon SageMaker, which offers features for building, training, and deploying machine learning models.
Users will learn how to use Cohere’s Command R+ for tasks such as text generation, summarization, rewriting, and extraction, as well as how to build semantic search applications using Cohere Embed for text embeddings. The module also teaches users how to enhance the accuracy of search results with Cohere Rerank and create Retrieval-Augmented Generation (RAG) applications using Cohere’s Chat, Embed, and Rerank endpoints. Additionally, users will learn how to build automated applications with Command R+’s tool use capabilities and customize models for specific tasks and domains through fine-tuning.
Cohere models are available on AWS through Amazon Bedrock and Amazon SageMaker.
Cohere’s LLM module on AWS
Registered users can access these services to integrate generative AI capabilities into their applications.
Amazon Bedrock is a fully managed service that offers high-performing foundation models (FMs). It allows users to customize Cohere models using techniques such as fine-tuning and retrieval-augmented generation (RAG) and to build agents that execute tasks using enterprise systems and data sources. Bedrock is serverless, eliminating the need for infrastructure management.
Amazon SageMaker, on the other hand, is a fully managed service for building, training, and deploying ML models at scale. It provides a comprehensive integrated development environment (IDE) with tools like notebooks, debuggers, profilers, pipelines, and MLOps. Unlike Bedrock, SageMaker supports a broader range of ML models and offers more control over the underlying infrastructure.
Users can start learning today to unleash the full potential of generative AI with Cohere on AWS.
