Introducing Command R+: Our new, most powerful model in the Command R family.
CHALLENGE
A large, multinational, commercial insurance company wanted to improve underwriting efficiency. Its skilled staff were spending many days reviewing engineering reports and other materials, and the company wanted to build a generative AI solution to identify and extract risk factors and highlights, help staff make faster and more accurate decisions, and hence speed up the underwriting process.
CHALLENGE
A large, multinational, commercial insurance company wanted to improve underwriting efficiency. Its skilled staff were spending many days reviewing engineering reports and other materials, and the company wanted to build a generative AI solution to identify and extract risk factors and highlights, help staff make faster and more accurate decisions, and hence speed up the underwriting process.
SOLUTION
Initially, the company built a solution to summarize and extract relevant information from engineering reports with a fine-tuned Cohere Command model hosted on Amazon Bedrock. In the second phase, the team is developing a full retrieval-augmented generation (RAG) solution using Cohere Embed and a vector database to embed engineering reports. The result will be an AI assistant that makes it easier for users to extract critical information by using a natural language interface and semantic search.
SOLUTION
Initially, the company built a solution to summarize and extract relevant information from engineering reports with a fine-tuned Cohere Command model hosted on Amazon Bedrock. In the second phase, the team is developing a full retrieval-augmented generation (RAG) solution using Cohere Embed and a vector database to embed engineering reports. The result will be an AI assistant that makes it easier for users to extract critical information by using a natural language interface and semantic search.
How it works
Impact
Lower underwriting cost per asset
Ability to underwrite faster and increase business
Better use of highly skilled employees’ time
The Cohere Difference
Leading model accuracy
Cohere’s retrieval prioritizes accurate responses and citations
Accelerated enterprise deployment
Cohere’s models come with connectors to common data sources
Customization
Cohere’s models can be fine-tuned to further improve domain performance
Scalability
Cohere’s powerful inference frameworks optimize throughput and reduce compute requirements
Flexible deployment
Cohere models can be accessed through a SaaS API, on cloud infrastructure (Amazon SageMaker, Amazon Bedrock, OCI Data Science, Google Vertex AI, Azure AI), and private deployments (virtual private cloud and on-premises)
Multilingual support
Over 100 languages are supported, so the same topics, products, and issues are identified the same way