Here's your summary from Focusing on data quality over quantity, Metalware built a foundation model with less compute. (https://www.youtube.com/watch?v=rbmov2w4ohI) on the Y Combinator channel:

**TLDR:** Metalware built a foundation model for hardware design using high-quality data and a smaller AI model, focusing on data quality over quantity.

1. Metalware, a company without expertise in machine learning, built a co-pilot for hardware design by using high-quality data from textbooks on hardware and a smaller AI model (GPT 2.5).

2. By using less data and a smaller model, Metalware was able to achieve their goal with fewer computational resources compared to larger models like GPT-4.

3. Focusing on specific tasks and high-quality data can be a successful strategy for building foundation models during the batch.

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