Improving Language Models
Traditional software products benefit from quick feedback loops, but language models struggle with this due to longer iteration times. By providing tools for product builders to measure performance and adjust models based on user feedback, there’s potential for significant improvement. The focus on coding models as a starting point stems from the ease of gathering community feedback, while future efforts will explore foundation models using entirely synthetic data to advance research in the open-source community.In this clip
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Open Source Startup Podcast
E129: The Race to Help Build Custom AI Models
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