Open-Source LLMs Gain Enterprise Traction

Open-source large language models (LLMs) are seeing initial enterprise deployments and adoption, but closed-source models currently have more publicly known use cases. However, open-source advocates argue it's only a matter of time before open-source catches up as more models are released.


  • OpenAI's ChatGPT and other closed LLMs were released before major open-source models like Meta's Llama and Mistral's MixTral, so have a head start on deployments.

  • There are delays in the open-source LLM feedback loop and development which have slowed adoption.

  • However, open-source models offer benefits like lower cost, more control and customization which will drive future growth.

  • The article provides 16 public examples of open-source LLM deployment at companies like VMWare, Wells Fargo, IBM, Walmart and others.

  • Companies are often using both open and closed LLMs together in applications to take advantage of strengths of each.

  • Defining what counts as "open source" and bonafide enterprise deployment is tricky with caveats around licensing, employees, etc.

  • More examples likely exist but companies don't publicize for confidentiality reasons; list will be expanded as more found.

  • Challenges remain around governance, support and capabilities of open-source models but rapid innovation happening.


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