Get the free Algorithmic Progress in Language Models

This paper investigates the improvements in algorithms for pre-training language models from 2012 to 2023. It analyzes over 200 evaluations of language models on popular datasets, revealing that the compute required to achieve a certain performance level has halved approximately every 8 months. The study quantifies algorithmic advancements and the contribution of hardware scaling, finding that most recent performance gains stem from compute scaling rather than algorithmic innovations.

How to fill out algorithmic progress in language

How to fill out algorithmic progress in language

1. Identify the specific language algorithm you are focusing on.
2. Gather relevant data and resources related to the language and its algorithms.
3. Break down the algorithmic process into manageable steps.
4. Document the input and output for each step of the algorithm.
5. Use algorithms notation to explain the steps clearly.
6. Provide examples to illustrate how the algorithm works.
7. Review and refine the algorithm to ensure clarity and effectiveness.

Who needs algorithmic progress in language?

1. Students studying computer science or linguistics.
2. Researchers working on natural language processing.
3. Developers creating applications that utilize language algorithms.
4. Educators teaching algorithmic concepts and programming.
5. Businesses seeking to enhance their language-related technologies.

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What is algorithmic progress in language?

Algorithmic progress in language refers to advancements in the methods and processes used to analyze, generate, and understand human language through computational techniques.

Who is required to file algorithmic progress in language?

Individuals or organizations involved in research, development, or application of language algorithms, including researchers, developers, and companies in the field of computational linguistics, are typically required to file.

How to fill out algorithmic progress in language?

To fill out algorithmic progress in language, you typically need to provide details about your algorithms' development stages, methodologies used, results achieved, and future plans.

What is the purpose of algorithmic progress in language?

The purpose of algorithmic progress in language is to document advancements in language processing technologies, ensuring transparency and accountability in their development and usage.

What information must be reported on algorithmic progress in language?

The information that must be reported includes the description of the algorithms, data sources, performance metrics, any ethical considerations, and the impact of the advancements on language processing.