v2.1.0
Release Description - Version 2.1.0
We are excited to announce a new release of our language model with several significant improvements and additions. Here are the key changes in this release:
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Integration of a Large Dataset: To enhance the accuracy and coverage of our language model, we have incorporated an additional large dataset. This dataset provides a more comprehensive collection of words and their frequencies, allowing the model to offer improved performance and results.
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Dataset Management with CSV: We have transitioned to using CSV files for maintaining and managing the dataset. This change provides a structured and efficient approach to handle the large volume of word-frequency data. The CSV format ensures easy readability and compatibility with various data analysis tools.
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Expanded Word Count: With the inclusion of the new dataset, the total count of words in our language model has significantly increased. The model now encompasses a comprehensive vocabulary of 3,080,012 words, enabling it to understand and generate more precise responses across a wide range of topics.
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Filtering Words by Frequency: We have implemented a frequency-based filtering mechanism to identify and focus on words that occur with greater significance. In this release, we provide statistics on word frequency thresholds:
- Words with Frequency > 5: 464,197
- Words with Frequency > 100: 55,496
- Words with Frequency > 1,000: 8,724
- These statistics can be useful for various applications, such as text analysis, language processing, and statistical modeling.
- Directory Refactoring: As part of continuous improvement and organization, we have refactored the directory structure of our project. This restructuring enhances the overall maintainability and readability of the codebase, enabling easier navigation and future development.