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8 mag 2024 · Pre-trained large language models (LLM) have emerged as a powerful tool for simulating various scenarios and generating output given specific instructions and multimodal input. In this work, we analyze the specific use of LLM to enhance a classical supervised machine learning method for classification problems.
14 mag 2024 · Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language. Jan Kaiser, Annika Eichler, Anne Lauscher. Autonomous tuning of particle accelerators is an active and challenging field of research with the goal of enabling novel accelerator technologies cutting-edge high-impact applications ...
6 mag 2024 · Recently, code generation driven by large language models (LLMs) has become increasingly popular. However, automatically generating code for machine learning (ML) tasks still poses significant challenges. This paper explores the limits of program synthesis for ML by combining LLMs and automated machine learning (autoML).
8 mag 2024 · Augmenting large language models with chemistry tools. Andres M. Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D. White & Philippe Schwaller. Nature Machine Intelligence 6 , 525–535...
13 mag 2024 · Wang and colleagues develop a pretrained language model specifically optimized for RNA sequence analysis and show that it can outperform state-of-the-art methods in a diverse set of downstream...
26 mag 2024 · The Meaning Behind The Song: Come Undone by Eva Under Fire Title Come Undone Artist Eva Under Fire Writer/Composer Warren Cuccurullo, Nick Rhodes, John Taylor & Simon Le Bon Album Love, Drugs & Misery (Deluxe) (2023) Release Date September 22, 2023 Genre Rock Producer N/A When a song speaks to you on a deep level, … The Meaning Behind The Song: Come Undone by Eva Under Fire Read More »
2 giorni fa · Machine Language. Volume 113, Issue 6. Abstract. References. Recommendations. Comments. Abstract. Integrating logical reasoning and machine learning by approximating logical inference with differentiable operators is a widely used technique in the field of Neuro-Symbolic Learning.
