Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...
The convergence of cloud computing and generative AI marks a defining turning point for enterprise security. Global spending ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and ...
Now available in technical preview on GitHub, the GitHub Copilot SDK lets developers embed the same engine that powers GitHub ...
Overview: Generative AI is rapidly becoming one of the most valuable skill domains across industries, reshaping how professionals build products, create content ...
On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...
Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...
Abstract: Mobile network traffic prediction is critical for efficient network management in 5G and future 6G systems. Federated Learning (FL) enables multiple base stations (BSs) to collaboratively ...
Most HCPs (77%) expressed a belief that patients will increasingly depend on LLMs, independent of physician recommendation. In the setting of radiation oncology, patients and healthcare providers ...
Ragas async llm_factory uses max_tokens instead of max_completion_tokens model arg for open ai gpt 5.2. Im using ragas to evalute answers of our chatbot based on answer faithfulness and relevancy.
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