Introducing Command R+: Our new, most powerful model in the Command R family.
CHALLENGE
A procurement consulting firm wanted to build a tool to summarize historical vendor procurement documents to help in future procurement discussions and optimize contract terms. The most valuable information was a supplier’s priorities and historical performance, but this information was often spread across different presentation decks, notes, and documents. Extracting all of this information was time-consuming for staff and required expertise.
CHALLENGE
A procurement consulting firm wanted to build a tool to summarize historical vendor procurement documents to help in future procurement discussions and optimize contract terms. The most valuable information was a supplier’s priorities and historical performance, but this information was often spread across different presentation decks, notes, and documents. Extracting all of this information was time-consuming for staff and required expertise.
SOLUTION
The customer is currently working with Cohere to fine-tune a Command model that can ingest and summarize multi-modal files, such as PowerPoint decks, notes, and PDF documents. The goal is to train the model using previous contract negotiation materials and previous summaries compiled by skilled procurement staff.
SOLUTION
The customer is currently working with Cohere to fine-tune a Command model that can ingest and summarize multi-modal files, such as PowerPoint decks, notes, and PDF documents. The goal is to train the model using previous contract negotiation materials and previous summaries compiled by skilled procurement staff.
How it works
STEP 1.
The fine-tuned Command model ingests unstructured notes, presentations, and transcripts.
STEP 2.
Command produces a templatized summary of procurement considerations.
Impact
Greater consultant productivity
Better negotiation outcomes
Less negotiation outcome variability
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