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.
Summary
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.