This Week in Startups How open-source & distributed models can win AI with MosaicML’s Naveen Rao | E1754
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Jun 1, 2023 Naveen Rao, Co-founder and CEO of MosaicML, shares insights on the open-source versus closed AI debate and the rapid changes AI brings to society. He discusses the challenges and opportunities for startups navigating AI development and the importance of empowering organizations with customizable language models. The conversation highlights AI's impact on employment, advocating for inclusivity and adaptability in workplaces, while touching on the need for a balanced approach to regulation and innovation in the tech landscape.
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Modifying Language Models
- Analyze your data size to determine the best approach for modifying a language model's behavior.
- Use prompts for smaller datasets (under 100,000 words), fine-tuning for medium datasets, and pre-training for large datasets.
Competitive Advantage of Owning Your Model
- Training your own AI model provides a competitive advantage by allowing you to own your data and IP.
- Using existing platforms like OpenAI's API makes you reliant on them and gives your competitors access to the same tools.
Specialized vs. General Models
- Open-source AI models are becoming increasingly sophisticated, enabling wider access to powerful AI capabilities.
- This democratization of AI may lead to specialized models tailored for specific industries and tasks, alongside general-purpose models.
