Cohere introduces Embed and Command Light models, including fine-tuning capabilities, on Amazon Bedrock platform.
Embed model enhances enterprise search and retrieval in multiple languages, optimized for noisy data and content quality evaluation.
Command Light, a cost-effective and faster model, allows AWS customers to fine-tune AI applications for industry-specific tasks.
Fine-tuning on Amazon Bedrock showed a 60% improvement in financial services text generation tasks, indicating benefits across various domains.
Availability on Amazon Bedrock enables secure development and scaling of generative AI applications within AWS customer environments.

Cohere specializes in creating AI-powered applications for enterprises, offering advanced capabilities in conversational interfaces and search functions through its large language models (LLMs). Their Retrieval Augmented Generation (RAG) toolkit enables accurate, data-informed responses for conversational apps, while their Embed model provides powerful semantic search capabilities across languages. Cohere also improves search result relevancy with their Rerank tool. They provide customizable models with cost-efficient runtime performance, flexible deployment options, and a firm commitment to privacy, ensuring customer data control. Furthermore, Cohere offers educational resources on LLMs through LLM University to help users better understand and utilize their technology.

Cohere

Cohere develops AI language models for enterprise productivity applications.

Cohere's Latest AI Models and Fine-tuning on Amazon Bedrock

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