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4 months ago
Best Practices for Deploying Language Models

 
Originally published in cohere.com, June 2, 2022. 

Cohere, OpenAI, and AI21 Labs have developed a preliminary set of best practices applicable to any organization developing or deploying large language models. Computers that can read and write are here, and they have the potential to fundamentally impact daily life.

The future of human-machine interaction is full of possibility and promise, but any powerful technology needs careful deployment. The joint statement below represents a step towards building a community to address the global challenges presented by AI progress, and we encourage other organizations who would like to participate to get in touch.


Joint Recommendation for Language Model Deployment

We’re recommending several key principles to help providers of large language models (LLMs) mitigate the risks of this technology in order to achieve its full promise to augment human capabilities.

While these principles were developed specifically based on our experience with providing LLMs through an API, we hope they will be useful regardless of release strategy (such as open-sourcing or use within a company). We expect these recommendations to change significantly over time because the commercial uses of LLMs and accompanying safety considerations are new and evolving. We are actively learning about and addressing LLM limitations and avenues for misuse, and will update these principles and practices in collaboration with the broader community over time.

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