From arxiv.org
Sloth: scaling laws for LLM skills to predict multi-benchmark performance across families
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Scaling laws for large language models (LLMs) predict model performance based on parameters like size and training data. However, differences in training configurations and data processing across model families lead to significant variations in benchmark performance, making it difficult for a...
#ml #llm #nlp #LLMs #data #nlproc #scaling #machinelearning
on Dec 10
From github.com
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Contribute to felipemaiapolo/sloth development by creating an account on GitHub.
#ml #llm #nlp #LLMs #data #nlproc #scaling #machinelearning
on Mon, 5PM