Many convenient and cheap ways to learn about AI come with a significant catch: free AI services often use your data to train their models, creating a privacy nightmare. Instead of relying on proprietary providers, you can use open-source software and open weight models to learn AI concepts while maintaining complete privacy. This talk provides a lightning-fast tour of open source projects for home AI engineering, focusing on inference with small models, image generation and recognition, and basic observability.
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