Summary of Merino: Entropy-driven Design For Generative Language Models on Iot Devices, by Youpeng Zhao et al.
Merino: Entropy-driven Design for Generative Language Models on IoT Devices
by Youpeng Zhao, Ming Lin, Huadong Tang, Qiang Wu, Jun Wang
First submitted to arxiv on: 28 Feb 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a novel framework for designing generative large language models (LLMs) suitable for resource-constrained hardware, such as Internet-of-Things (IoT) devices. The framework, called information-entropy, is based on solving a mathematical programming problem that can be done on the CPU within minutes, making it nearly zero-cost. The proposed model, MeRino, is evaluated across fourteen NLP downstream tasks and shows competitive performance against state-of-the-art autoregressive transformer models under mobile settings. Notably, MeRino achieves similar or better performance on language modeling and zero-shot learning tasks compared to the 350M parameter OPT while being 4.9x faster on NVIDIA Jetson Nano with a 5.5x reduction in model size. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper makes it possible to use powerful artificial intelligence models, called large language models, on devices like smart home appliances or smartphones. These models are usually too big and slow for these devices, but the new framework makes them faster and smaller without losing their abilities. The researchers tested their model, MeRino, on many tasks and found that it performs just as well as other top models, even when they have much more parameters. This is important because it means we can use these powerful AI models in more places, making our lives easier. |
Keywords
* Artificial intelligence * Autoregressive * Nlp * Transformer * Zero shot
