Tony-HYX
2 years ago
2 changed files with 6 additions and 6 deletions
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README.md
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| Key Features of ABLkit: | Key Features of ABLkit: | ||||
| - **Great Flexibility**: Adaptable to various machine learning modules and logical reasoning components. | |||||
| - **User-Friendly**: Provide data, model, and KB, and get started with just a few lines of code. | |||||
| - **High-Performance**: Optimization for high accuracy and fast training speed. | |||||
| - **High Flexibility**: Compatible with various machine learning modules and logical reasoning components. | |||||
| - **User-Friendly Interface**: Provide data, model, and knowledge, and get started with just a few lines of code. | |||||
| - **Optimized Performance**: Optimization for high performance and accelerated training speed. | |||||
| ABLkit encapsulates advanced ABL techniques, providing users with an efficient and convenient toolkit to develop dual-driven ABL systems, which leverage the power of both data and knowledge. | ABLkit encapsulates advanced ABL techniques, providing users with an efficient and convenient toolkit to develop dual-driven ABL systems, which leverage the power of both data and knowledge. | ||||
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| @@ -16,9 +16,9 @@ where both data and (logical) domain knowledge are available. | |||||
| Key Features of ABLkit: | Key Features of ABLkit: | ||||
| - **Great Flexibility**: Adaptable to various machine learning modules and logical reasoning components. | |||||
| - **User-Friendly**: Provide **data**, :blue-bold:`model`, and :green-bold:`KB`, and get started with just a few lines of code. | |||||
| - **High-Performance**: Optimization for high accuracy and fast training speed. | |||||
| - **High Flexibility**: Compatible with various machine learning modules and logical reasoning components. | |||||
| - **User-Friendly Interface**: Provide **data**, :blue-bold:`model`, and :green-bold:`knowledge`, and get started with just a few lines of code. | |||||
| - **Optimized Performance**: Optimization for high performance and accelerated training speed. | |||||
| ABLkit encapsulates advanced ABL techniques, providing users with | ABLkit encapsulates advanced ABL techniques, providing users with | ||||
| an efficient and convenient toolkit to develop dual-driven ABL systems, | an efficient and convenient toolkit to develop dual-driven ABL systems, | ||||