Practical AI The ins and outs of open source for AI
Jul 7, 2020
The hosts delve into the perks of using open source tools like Docker and Google Colab for AI development. They discuss the intricacies of incorporating open-source databases and the legalities surrounding pre-trained models. Personal anecdotes and the importance of community contributions highlight the essence of collaboration in advancing AI projects. Listeners are encouraged to explore data licenses, experiment with resources, and contribute back to the vibrant open source AI community.
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Episode notes
Building an AI Rig
- Daniel Whitenack is building a new computer for AI work.
- He feels it's a rite of passage, despite laptops being sufficient.
Kubernetes for Charity
- Chris Benson is setting up a Kubernetes cluster for a charity.
- He's using reserved Amazon instances and COPS to manage costs.
Open Source in AI
- Open-source AI tools like TensorFlow and PyTorch are becoming increasingly common.
- Open source means code is available, but not always free.