What limitations prevent LLMs from aligning with traditional open source principles? Does this have an impact on innovation or transparency at your org?

Good to read this: https://siliconangle.com/2024/10/28/osi-clarifies-makes-ai-systems-open-source-open-models-fall-short/

Some LLM limitations that do not align with traditional open-source model include:

- Data Privacy and Proprietary Datasets: Unlike many open-source projects, LLMs often rely on vast amounts of proprietary or sensitive data that cannot be freely shared.

- Compute costs: Training LLMs requires enormous computational resources, which are not accessible to most open-source contributors or smaller organizations.

- IP risks: Many organizations are hesitant to open-source LLMs due to concerns over IP.