Microsoft's new AI training method eliminates bloated system prompts without sacrificing model performance

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

Visual imitation learning: Guidde trains AI agents on human 'expert video' instead of documentation

Guidde already claims 4,500 enterprise customers and seeks to expand this number with its new round of funding.
IEEE

Recommender Systems for Unified Modeling Language and Vice Versa—A Systematic Literature Review

Abstract: Recommender systems (RSs) are fundamental tools that address data redundancy and serve as intelligent supplements for tasks such as data retrieval and refinement by analyzing user behavior.
Journal of Medical Internet Research

How to Design, Create, and Evaluate an Instruction-Tuning Dataset for Large Language Model Training in Health Care: Tutorial From a Clinical Perspective

Moreover, we discuss strategies for metadata selection and human evaluation to ensure the quality and effectiveness of ITDs. By integrating these elements, this tutorial provides a structured ...
IEEE

Modeling of Negative Feedback Refined via LLM in Recommender Systems

Abstract: Most recommender systems have been proposed by utilizing the user feedback data, where implicit feedback is often used. However, in this setting, the dispreference signals in the original ...
usace.army.mil

Leveraging Digital Engineering to Modernize Munition Production

Digital engineering and modeling and simulation (M&S) are transformative approaches that enable precision, efficiency and innovation in munitions production and warfighter capabilities. By integrating ...