QCon Software Development Conference

Key Takeaways Open-source initiatives are pivotal in democratizing AI technology, offering transparent, extensible tools that empower users. The open-source community quickly turns new research into practical AI tools, making them stronger and more useful. Distilling large language models during development enables the creation of accurate, fast, and private task-specific models, reducing reliance on general-purpose APIs. Effective regulation should distinguish between human-facing AI applications and underlying machine-facing components, ensuring innovation while addressing concerns about data privacy, security, and equitable access. This is a summary of a talk that Ines Montani gave at QCon London in April 2024. Large language models…