OLMo: Everything You Need to Train an Open Source LLM with Akshita Bhagia - #674
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Importance of Open-Training Data Sets for Research
Open-training data sets are crucial for understanding model capabilities, relationships between inputs and outputs, performance on different inputs, handling toxicity, and content curation. By releasing training data alongside models, researchers can explore these aspects and leverage data like Dolma for various research directions.
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