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Damien and Nikola discuss the evolution and significance of small language models (SLMs) amid the ever-growing landscape of their bigger bretheren, large language models (LLMs). They dissect the predicted rise of SLMs, their applications in privacy-focused and low-power devices, and the implications for enterprises balancing cost, efficiency, and modernization. They also explore the enduring relevance of SLMs, the pursuit of artificial general intelligence (AGI), and what the future holds for localized and on-premises machine learning solutions.

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