Contextual Language Model Models by Contextual AI

About

Contextual Language Models (CLMs) are RAG-native language models developed by Contextual AI that integrate retrieval-augmented generation at the architecture level. The retriever and language model are trained end-to-end as an integrated system (RAG 2.0), achieving state-of-the-art performance on enterprise knowledge tasks with reduced hallucination.

Specifications(1 models)

Available From(1 provider)

Frequently Asked Questions

What is Contextual Language Model used for?

Contextual Language Models (CLMs) are RAG-native language models developed by Contextual AI that integrate retrieval-augmented generation at the architecture level.

How does Contextual Language Model compare to Claude 3?

Contextual Language Model by Contextual AI is strongest where you need its listed use cases, while Claude 3 by Anthropic is the closest related family to check for vision and multimodal work. Contextual Language Model has 1 listed variant, while Claude 3 reaches up to 200k context, so compare the specs and pricing tables before choosing a production model.

Which Contextual Language Model model should I use?

If price is the main constraint, use the pricing table first because Contextual Language Model does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Contextual Language Model.

Models(1)