Best practices for deploying language models
Three AI labs just published the playbook every founder needs before shipping an LLM to production.
Why it matters
As LLM deployment accelerates, industry consensus on safety, testing, and governance practices provides a governance framework that's becoming table stakes for enterprise adoption and regulatory compliance.
The key facts
8 to knowJoint best practices from Cohere, OpenAI, and AI21 Labs
Covers deployment governance for any organization building/deploying LLMs
Published June 2, 2022 — early standardization effort in LLM lifecycle
Addresses safety, testing, and operational considerations
Collaborative best practices from Cohere, OpenAI, and AI21 Labs
Framework applicable to any organization deploying large language models
Published June 2022—early governance guidance during rapid LLM proliferation
Covers deployment risk management and responsible scaling standards
Go to the source
OpenAI Blogopenai.com
Publisher excerpt: Cohere, OpenAI, and AI21 Labs have developed a preliminary set of best practices applicable to any organization developing or deploying large language models.