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Contextual AI has come in alliance with Google Cloud to be its provider to construct, run and scale-up its increasing business and to prepare its large language models (LLMs) for the company.

Contextual AI also secured $20m in the initial funding round. This funding will allow them to work on the next generation’s language framework to provide completely adaptive, dependable, privacy conscious AI. This will help companies concentrate on the company’s work which matters.

The organization chose Google Cloud for its advice and open approach to generative AI and also for its versatile computer framework which is custom-built for AI/ML.

It will set-up and prepare its LLMs via Google Cloud’s immense portfolio of A3 Vms, A2 VMs and GPU VMs, that are formed on A100 Tensor Core GPUs and NVIDIA H100. Contextual AI will be using Google Cloud’s Specialized hardware accelerator and Tensor Processor Units (TPUs) to make its next batch of LLMs.

Created on Google Cloud, these Contextual Language Models (CLMs) will compose responses which are modified to a firm’s data. This will result in better compliance, great accuracy, reduced hallucination, and the capability to track answers back to original documents.

Contextual AI’s LLMs maintain data privacy while giving efficiency and customization.

Also, the Co-founder – Douwe Kiela helped discover the retrieval augmented generation (RAG) skill that supports Contextual AI’s text-generating AI innovation. RAG lets enterprise customers custom make LLMs on top of the data, making sure that data remains safe, using outer sources to initiate responses that also take factors into consideration.