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12 de abr. de 2023 · There is some fallacious reasoning along the lines of "Bigger is always better". Example 1: Eating food makes you satisfied. Person A has eaten more food than Person B, therefore Person A will be "more satisfied" than Person B.
- grammar - Is the "Bigger is not always better" correct? - English ...
[A house that's] bigger [than your current house] is not...
- grammar - Is the "Bigger is not always better" correct? - English ...
18 de ene. de 2021 · Bigger Isn’t Always Better. Let’s say you’ve exhausted all your options. You’ve shown grace, humility, and open-mindedness. You’ve apologized for your actions.
[A house that's] bigger [than your current house] is not always better [than the current size of your house]. The comparison in "bigger is not always better" is between what you said ("I have a big house") and what your friend was saying could be better (a smaller house).
1 de ago. de 2023 · In a nutshell, the paper declared that better performance is a function of bigger models, bigger data sets and bigger compute budgets. In 2020, OpenAI published a paper outlining scaling laws...
8 de mar. de 2023 · In AI, is bigger always better? As generative AI models grow larger and more powerful, some scientists advocate for leaner, more energy-efficient systems. By
1 de abr. de 2024 · Bigger is not Always Better: Scaling Properties of Latent Diffusion Models. Kangfu Mei, Zhengzhong Tu, Mauricio Delbracio, Hossein Talebi, Vishal M. Patel, Peyman Milanfar. We study the scaling properties of latent diffusion models (LDMs) with an emphasis on their sampling efficiency.
7 de dic. de 2023 · Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers. Nuo Chen, Ning Wu, Shining Liang, Ming Gong, Linjun Shou, Dongmei Zhang, Jia Li. This paper presents an in-depth analysis of Large Language Models (LLMs), focusing on LLaMA, a prominent open-source foundational model in natural language processing.
