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Abstract: To achieve desired software quality attributes, architects must evaluate and choose from a myriad of design concepts, patterns, and technologies. This paper explores how Large Language ...
Vasilis Kontonis, Yuchen Zeng, Shivam Garg, Lingjiao Chen, Hao Tang, Ziyan Wang, Ahmed Awadallah, Eric Horvitz, John Langford, Dimitris Papailiopoulos We taught models to compress their own ...
Influence in business has always followed power. First it was publishers, then platforms, then algorithms. Today, it is increasingly shaped by something quieter and more consequential: the responses ...
When it comes to large language model-powered tools, there are generally two broad categories of users. On one side are those who treat AI as a powerful but sometimes faulty service that needs careful ...
Abstract: Requirements Engineering (RE) is a key yet often challenging phase that demands a good understanding of stakeholder needs, domain, elicitation methods, and documentation practices. Teaching ...
Some people have gotten emotionally attached to chatbots powered by large language models, but the feeling is apparently not mutual. According to a new study from researchers at the University of ...
Deploying AI agents for repository-scale tasks like bug detection, patch verification, and code review requires overcoming significant technical hurdles. One major bottleneck: the need to set up ...
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit ...
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