From LLMs to DSLMs: A Practical Solution for Faster, More Resource-Efficient AI
While large language models (LLMs) have garnered significant attention for their proficiency across a wide spectrum of tasks, they often fall short in many voice applications that require higher levels of performance in terms of accuracy, speed, and efficiency in specific tasks and domains. This is especially true for streaming or large-scale audio applications requiring low-latency, real-time results at scale. Does the axiom hold true that bigger is always better? Or is there a better way? This lightning talk aims to shed light on domain-specific language models (DLSMs), distilled from LLMs to excel in specific domains and tasks. Learn about the benefits that DSLMs offer and practical solutions for real-world applications.
Video Recorded at The AI Conference. Copyright, The AI Conference, All Rights Reserved
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