[Start of Handling] Small Language Model (SLM) / Super Tiny Language Model (STLM) White Paper 2024 Edition - From Fine-Tuning to Optimization and Quantization of LLMs -

The Next Generation Social System Research and Development Organization has begun handling the "Small Language Model (SLM) / Super Tiny Language Model (STLM) White Paper 2024 Edition - From Fine-Tuning to Optimization and Quantization of LLMs." [Report Summary] Starting in 2024, within the AI community, there is a rapidly increasing exploration of the effectiveness of Small Language Models (SLM), Super Tiny Language Models (STLM), and quantized LLMs as part of the trend towards fine-tuning, optimizing, and pursuing more practical models. This shift is being promoted. These compact models are fine-tuned on specific datasets and are demonstrating exceptional capabilities across various performance evaluations. They promise to provide appropriate performance while balancing performance and resource utilization, optimally managing computational resources.
For the continuation of the summary, click here:
https://www.dri.co.jp/auto/report/ings/ings-slmstlm24-a.html

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