Enterprises are increasingly adopting open source large language models (LLMs) over closed-source alternatives like OpenAI's GPT-4. This shift is driven by the need for greater control, customization, and cost efficiency. Major business application providers such as Salesforce, Oracle, SAP, and ServiceNow are integrating open source LLMs, offering flexible AI options. Meta's Llama model stands out, with widespread adoption and a growing ecosystem. Open source models offer safety and control advantages, with advanced enterprises leveraging them for specialized tasks. Technical capabilities are now on par with closed models, making open source a compelling choice for sophisticated deployments.
Table of contents
The platform shift by big app companies accelerates adoptionA complex landscape of “open” modelsTechnical capabilities drive sophisticated deploymentsInfrastructure evolution removes deployment barriersSafety and control advantages emergeData provenance solved through synthetic trainingRegional patterns may reveal cost-driven adoptionMarket dynamics point toward commoditizationSpecialized models enrich the ecosystemTrust increasingly favors open sourceThe path forwardSort: