Evan Sparks, from Determined AI, helps us understand why many are still stuck in the “dark ages” of AI infrastructure. He then discusses how we can build better systems by leveraging things like fault tolerant training and AutoML. Finally, Evan explains his optimistic outlook on AI’s economic and environmental health impact.
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Featuring:
- Evan Sparks – Website, GitHub, X
- Chris Benson – Website, GitHub, LinkedIn, X
- Daniel Whitenack – Website, GitHub, X
Show Notes:
- Determined AI
- Previous episode on Alpha pilot
- Blog post - AI Leadership And The Positive Impacts On Economy, Privacy, Environmental Health
- Blog post - Announcing the future of AI infrastructure
- Apache Spark
- MLlib
- Antique Candle Co.
- Joel Grus on AI code that facilitates good science
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What is Practical AI?
Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more).
The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!