This post explores the purpose, power, and potential of Small Language Models (SLMs), specifically focusing on Orca SLM. It discusses the current use cases for SLMs, the strengths of Orca for common-sense reasoning, and the fine-tuning of SLMs for specific contexts. The post highlights the potential of endowing smaller models with better reasoning capabilities and provides practical reasoning examples. It also mentions Microsoft's objectives in developing Orca 2 and the importance of synthetic data creation for training smaller models.
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LinkedIn FeedbackBack To OrcaLLMs Teaching SMLsPractical Reasoning ExampleKey Elements From The Study4 Impressions