The AI Buzz from Lightning AI Opensource Licensing for LLMs
10 snips
May 8, 2023 Dive into the complexities of open-source licensing for large language models! Explore how legal concerns influence entrepreneurs and the importance of dataset provenance. Discover the shift away from traditional licenses like Apache and the implications for businesses. Hear predictions on a surge of legal actions affecting innovation and the creative industries. Finally, consider the future of smaller, task-focused models and what companies need to do to stay ahead in this evolving landscape.
AI Snips
Chapters
Transcript
Episode notes
Two Legal Angles For Using LLMs
- Companies worry about two legal angles: user-facing liability and internal use compliance.
- Both raise different risks and require different levels of due diligence.
Data Provenance Drives Legal Risk
- Dataset provenance matters more than model weights for legal risk.
- Models trained on unlicensed crawled data create ambiguous openness despite permissive model licenses.
License Mismatch Between Data And Models
- Models can be Apache-licensed even if their training data was unlicensed or risky.
- That mismatch creates interpretation risk for companies using the checkpoints.