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What Are Small Language Models (SLMs)? | Microsoft Azure A small language model (SLM) is a computational model that can respond to and generate natural language SLMs are designed to perform some of the same natural language processing tasks as their larger, better-known large language model (LLM) counterparts, but on a smaller scale
LLMs vs. SLMs: The Differences in Large Small Language . . . Small language models (SLMs) have fewer parameters and are fine-tuned on a subset of data for a specific use case Large language models (LLMs) are trained on large-scale datasets and usually require large-scale cloud resources Of course, there’s a lot more to it than that
What are Small Language Models (SLM)? | IBM Small language models (SLMs) are artificial intelligence (AI) models capable of processing, understanding and generating natural language content As their name implies, SLMs are smaller in scale and scope than large language models (LLMs)
What are Small Language Models (SLMs) - GeeksforGeeks Small Language Models (SLMs) are natural language processing (NLP) models with relatively fewer parameters (typically millions to a few hundred million) compared to Large Language Models (LLMs) like GPT-4 or PaLM These models are designed to be more resource-efficient while retaining decent language understanding and generation capabilities
What Are Small Language Models: SLM vs LLM With SLM Examples Why Small Language Models are the next big thing in AI? A small language model (SLM) is a type of artificial intelligence (AI) that can understand and create human language We also call them “mini models” These models are designed to be smaller and more efficient than very large language models