Translation systems powered by LLMs have become so advanced that they can outperform human translators in some cases. As LLMs improve, especially in complex tasks such as document-level or literary ...

A modular and easy-to-use machine learning model evaluation tool with both Streamlit UI and command-line interface (CLI) support. The goal is to allow fast and flexible experimentation on tabular ...

Abstract: With the goal of improving the quality of "double-qualified" teachers, the CIPP evaluation model is introduced to develop a quality evaluation system for "double-qualified" teachers sourced ...

Model performance was evaluated using metrics such as the area under the curve (AUC), accuracy, specificity, sensitivity, positive predictive value, negative predictive value, and F1-score across ...

With support from the Accelerating Foundation Models Research (AFMR) grant program, a team of researchers from Microsoft and collaborating institutions has developed an approach to evaluate AI models ...

As AI tools become increasingly prevalent in workplaces, understanding the social dynamics of AI adoption is crucial. Through four experiments with over 4,400 participants, we reveal a social penalty ...

Introduction: The quality of traditional Chinese medicine (TCM) guarantees clinical efficacy. At present, although chemical quality evaluation methods can reflect the quality of TCMs to a certain ...

In a significant move to empower developers and teams working with large language models (LLMs), OpenAI has introduced the Evals API, a new toolset that brings programmatic evaluation capabilities to ...

Quantum computing systems and software company D-Wave Quantum Inc. has partnered with the pharmaceutical division of Japan Tobacco Inc. to build a proof-of-concept artificial intelligence model using ...

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