This document summarizes a research paper on scaling laws for neural language models. Some key findings of the paper include:
- Language model performance depends strongly on model scale and weakly on model shape. With enough compute and data, performance scales as a power law of parameters, compute, and data.
- Overfitting is universal, with penalties depending on the ratio of parameters to data.
- Large models have higher sample efficiency and can reach the same performance levels with less optimization steps and data points.
- The paper motivated subsequent work by OpenAI on applying scaling laws to other domains like computer vision and developing increasingly large language models like GPT-3.
This document summarizes a research paper on scaling laws for neural language models. Some key findings of the paper include:
- Language model performance depends strongly on model scale and weakly on model shape. With enough compute and data, performance scales as a power law of parameters, compute, and data.
- Overfitting is universal, with penalties depending on the ratio of parameters to data.
- Large models have higher sample efficiency and can reach the same performance levels with less optimization steps and data points.
- The paper motivated subsequent work by OpenAI on applying scaling laws to other domains like computer vision and developing increasingly large language models like GPT-3.
Tokyo-Tech 2017 EDP-A #3 Prototype and TestMasanori Kado
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This document outlines the process for prototyping and testing in Engineering Design Project A. It discusses that the goal of the class is to prepare students for more advanced design projects through hands-on prototyping and testing. It describes the different stages of prototyping from initial concept prototypes to functional prototypes. Students will create functional prototypes, test them with users at least 5 times, and iteratively improve the prototypes based on user feedback. Testing involves observing how users interact with prototypes without instruction and asking targeted questions. The document emphasizes learning through repeated testing and reflection on the process.
This document outlines an engineering design project class that skips the problem definition step and focuses on ideation and prototyping. It provides instructions for students to observe situations, brainstorm ideas, and create low-fidelity prototypes. Students are encouraged to think creatively and come up with unconventional ideas. They use a SIPOC model to map out the elements of their prototype concepts. The goal is to generate innovative solutions and get students building tangible prototypes early in the process through an experimental "think-while-prototyping" approach.
This document outlines the agenda and activities for a team building exercise. The exercise involves engineering design students drawing pictures of their team members, identifying their strengths, creating hypothetical business plans by combining members' strengths, and discussing what allows some teams to create "WOW" products while others only receive "Thank you" feedback. The goal is for teams to learn how to exploit members' strengths and work together effectively to achieve psychological safety, an important factor in high performing teams. Students are encouraged to share ideas and discuss lessons learned.
50. 受動態は「立派」に
見えるが、論文が薄
まる。ぜひとも避け
たい。
能動態を
使用する
No! Yes!
It can be seen that...
34 tests were run
These properties were thought
desirable
It might be thought that this
would be a type error
We can see that...
We ran 34 tests
We wanted to retain these
properties
You might think this would be a type
error
51. シンプルで
直接的な
言葉づかい
No! Yes!
The object under study was
displaced horizontally
On an annual basis
Endeavour to ascertain
It could be considered that the
speed of storage reclamation left
something to be desired
The ball moved sideways
Yearly
Find out
The garbage collector was really
slow