Summary Evolutionary Tree and Graph for Large Language Models arxiv.org
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The authors created Constellation, a web app that provides a visual representation of the hierarchical relationships among Large Language Models (LLMs) like ChatGPT and Bard, addressing their lack of a comprehensive index.
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Key Points
- Large Language Models (LLMs) have gained significant popularity, with models like ChatGPT and Bard receiving millions of users.
- There are nearly 16,000 Text Generation models available on the Hugging Face repository.
- Hierarchical clustering and graph visualization techniques can be used to identify communities and relationships among LLMs.
- The Constellation web application provides visualizations such as dendrograms, word clouds, and graphs to explore and navigate the dataset of LLMs.
- Model parameters can be inferred from the model names using regular expression patterns.
- The number of likes and downloads for a model on Hugging Face shows a positive but weak correlation.
- Word clouds can help identify prominent model families within clusters.
- The Louvain method is used for community detection in the graph visualization of LLMs.
Summaries
28 word summary
Large Language Models (LLMs) such as ChatGPT and Bard lack a comprehensive index. The authors developed Constellation, a web app that visually represents the hierarchical relationships among LLMs.
38 word summary
Large Language Models (LLMs) like ChatGPT and Bard have become popular, but there is no comprehensive index for them. The authors of the document created Constellation, a web application that visualizes the hierarchical relationships among LLMs using techniques
195 word summary
Large Language Models (LLMs) have gained significant popularity, with models like ChatGPT and Bard attracting millions of users. There is a vast number of LLMs available, but no comprehensive index exists. To address this, the authors of the
Model parameters were extracted from the model names using a regular expression pattern. The number of parameters in millions was recorded in a column in the dataset. Data analysis and visualization were conducted using various libraries. The model names were converted into TF-IDF features using
The document discusses the creation of Constellation, a web application that visualizes the hierarchical relationships among Large Language Models (LLMs). The application uses techniques such as dendrograms, word clouds, and graph-based representations to organize and classify LLMs
This summary provides a concise version of the text excerpt, highlighting key points and preserving important details.
The excerpt includes a list of references to various sources, such as research papers, articles, and documentation related to language models and data analysis tools. Some of
This text excerpt provides a list of the most common words and phrases among all Hugging Face Language Models (LLMs). The list includes terms such as "gpt2," "7b," "13b," "gpt," "finet