If you have internal data scientists, which is better for risk reduction: building your own proprietary LLM, or using one built by a major third-party provider?
Proprietary LLM38%
Third-party LLM56%
I don't have an opinion6%
115 PARTICIPANTS
CTO in Consumer Goods, 11 - 50 employees
Building a proprietary foundation model is prohibitively expensive for most organizations other than super scalers and specialized AI companies. Think Google, Meta, Open AI, or Anthropic. There are good open source foundation models you can fine-tune and run internally, if you don’t want to use public models from Anthropic or Open AI.Content you might like
CTO in Software, 201 - 500 employees
Without a doubt - Technical Debt! It's a ball and chain that creates an ever increasing drag on any organization, stifles innovation, and prevents transformation.A primary concern for all D&A initiatives12%
Something to mitigate, but not our primary concern73%
Not concerned. That is someone else's domain14%
Frustrated by the limitations it creates0%
I don’t know1%
111 PARTICIPANTS
+15%8%
10-15%46%
5-9%20%
1-4%23%
What security budget?2%
659 PARTICIPANTS