second_constantine
8ef3a16e3a
- Added pymongo==3.13.0 to requirements.txt for MongoDB connectivity - Implemented generate_summarization_from_mongo.py script to generate summarization tests from MongoDB - Updated run.sh to support 'gen-mongo' command for MongoDB test generation - Enhanced scripts/README.md with documentation for new MongoDB functionality - Improved help text in run.sh to clarify available commands and usage examples ``` This commit adds MongoDB integration for test generation and updates the documentation and scripts accordingly.
3 lines
1.1 KiB
Plaintext
3 lines
1.1 KiB
Plaintext
Summarize the following text in 1-2 sentences: 'In the realm of programming, machine learning algorithms enable computers to improve their performance on a specific task without being explicitly programmed for each step. These algorithms learn from data, allowing them to identify patterns and make predictions or decisions with increasing accuracy over time. For instance, deep learning models, which are part of artificial intelligence, use neural networks to process vast amounts of information, making significant advancements in areas such as image recognition and natural language processing. As technology advances, these capabilities are being integrated into various sectors, from healthcare to autonomous vehicles, transforming the way we interact with digital systems and enhancing our understanding of complex data sets.'
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Machine learning algorithms allow computers to improve their performance on specific tasks through data-driven pattern recognition, leading to advancements in areas like image recognition and natural language processing, and being increasingly integrated into sectors such as healthcare and autonomous vehicles. |