Super Data Science: ML & AI Podcast with Jon Krohn 852: In Case You Missed It in December 2024
Jan 10, 2025
Greg Epstein, author of "Tech Agnostic," shares insights on the risks of excessive technology worship and the implications of the singularity. He discusses the evolving landscape of AI, emphasizing the need for a balanced approach to tech. Topics include the importance of strategic partnerships for innovation, the dual nature of AI advancements in 2024, and the societal challenges posed by automation. Epstein advocates for healthy skepticism towards tech narratives while prioritizing human values amidst rapid technological change.
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Prioritize Value over Cost
- Don't focus on LLM costs initially, prioritize building a functional model.
- Optimize for cost only after achieving value, potentially using cheaper models or fine-tuning.
Choosing LLMs
- Start with closed-source LLMs like GPT-4 for prototyping, even if they are more expensive.
- Consider open-source models if you have a lot of proprietary or sensitive data.
Open-Source Advantages
- Open-source models are preferable for large proprietary datasets or data privacy.
- They are also suitable for on-device or offline deployments where API costs are a concern.
