The author acknowledges that open source models are currently harder to use than closed source models, but believes that this will change as open source offerings mature and become more user-friendly. They argue that the current hype cycle has put closed source AI in the spotlight, but as open source AI becomes more accessible, it will emerge as the superior choice for many applications. The author encourages organizations to understand their needs and lay the groundwork to take full advantage of open source AI, arguing that this approach will enable a sustainable competitive advantage in the long run.
Key takeaways:
- The author argues against the idea that AI will become an oligopoly of large language model (LLM) providers, believing instead that open source will have a greater impact on the future of LLMs and image models.
- Open source AI models are argued to be more beneficial for businesses as they allow for more control, privacy, and security, and can be fine-tuned to cover up to 99% of use-cases when a product has collected enough labeled data.
- The author acknowledges that open source AI models are currently harder to use than closed source models, but believes this will change as they become more user-friendly and customizable.
- Despite the current hype around closed source AI, the author encourages organizations to understand their needs and take advantage of open source AI, arguing that this approach will provide a sustainable competitive advantage in the long run.