QCon London 2024

03 Jul

The AI Revolution Will Not Be Monopolized

stp2y0 CommentsNewsai, ai revolution not monopolized, artificial intelligence, chatgpt, gemini, google, large language models, ML & Data Engineering, openai, QCon London 2024, 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…

24 May

Ines Montani at QCon London: Economies of Scale Can’t Monopolise the AI Revolution

stp2y0 CommentsNewsai, ai revolution monopol, Architecture & Design, artificial intelligence, Automated Machine Learning, deep learning, development, generative ai, large language models, machine learning, ML & Data Engineering, QCon London 2024

During her presentation at QCon London, Ines Montani, co-founder and CEO of explosion.ai (the maker of spaCy), stated that economies of scale are not enough to create monopolies in the AI space and that open-source techniques and models will allow everybody to keep up with the "Gen AI revolution". Montani opened her presentation by asking for a show of hands to identify the open-source users in the audience. The vast majority of the audience raised their hand, easily demonstrating that open-source is ubiquitous ("it would be easier to ask who doesn’t use open-source’"). She pointed out the multiple benefits of the…