Cohere summary¶
Cohere offers LLM products to deploy AI solutions with the enterprise.
Value proposition¶
- Focus to solve problem with ML and AI
- Strong in NLP in different human's languages.
- Command LLMs are easy to customize and fine tune
- Strong on RAG, with Embeddings, Rerank products. Dedicated AI research group. Support open science initiatives: Aya is a state-of-the-art multilingual open-source research model and dataset covering 101 languages.
- Use SaaS offering, with chat and playground: Playground allows developer to experience the power of LLM without coding a single line.
- Easy integration via SDK and APIs
- Scalable models
Products¶
Three main products: Command for LLM, Embed, and Rerank.
Command-R¶
A LLM optimized for long-context task, and to support enterprise deployments using:
- Advanced Retrieval Augmented Generation with citation to reduce hallucinations
- 128K context length
- Multilingual coverage in 10 key languages to support global business operations
- Tool Use to automate sophisticated business processes using single-step tool or multi-step tool like an agent
Embed¶
Embeddings can be used for estimating semantic similarity between two texts, choosing a sentence which is most likely to follow another sentence, or categorizing user feedback. Embed improves the accuracy of search, classification, clustering, and RAG results. Cohere embedding associates each word with a vector of length 4096. It supports more than 100 languages.
Rerank¶
Rerank models sort text inputs by semantic relevance to a specified query. They are often used to sort search results returned from an existing search solution. Rerank is used to inject the intelligence of a language model into an existing search system.