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- 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)? | 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
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- Small Language Models (SLM): A Comprehensive Overview
Small Language Models (SLMs) are lightweight versions of traditional language models designed to operate efficiently on resource-constrained environments such as smartphones, embedded systems, or low-power computers
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- 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
- Small language model - Wikipedia
Small language models or compact language models are artificial intelligence language models designed for human natural language processing including language and text generation They are smaller in scale and scope than large language models
- What is a small language model (SLM)? - TechTarget
A small language model (SLM) is a generative AI technology similar to a large language model (LLM) but with a significantly reduced size LLMs -- such as OpenAI's GPT-3 and GPT-4 -- are trained and optimized for many purposes, including general-purpose tool use
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