Artificial Intelligence Needs Community Intelligence
summary
Claims rapid open AI progress in two years and says open models and tooling are already usable not just vapor; names granite models released in families including code and vision models with sizes under 10 billion that run on CPU or modest GPUs; describes tools Data Prep Kit and Docling for large scale unstructured processing with Docling hitting 24,000 stars and 1,000 forks in three months; announces an agent framework BeeAI and plans to contribute three projects to the Linux Foundation.
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chapters (10)
- 0:00Introduction
- 1:34Community intelligence in AI
- 2:40Open source vs proprietary AI
- 4:40AI model evolution
- 7:04IBM's open AI commitment
- 8:15Fit-for-purpose AI models
- 9:22Model customization tools
- 11:14Introducing BeeAI
- 12:45Linux Foundation projects
- 13:52Future of open AI collaboration
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