TY - JOUR A1 - Albornoz, Ricardo Valencia A1 - Antypov, Dmytro A1 - Blanke, Gerd A1 - Borges, Itamar A1 - Marulanda Bran, Andres A1 - Cheung, Joshua A1 - Collins, Christopher M. A1 - David, Nicholas A1 - Day, Graeme M. A1 - Deringer, Volker L. A1 - Draxl, Claudia A1 - Eardley-Brunt, Annabel A1 - Evans, Matthew L. A1 - Fairlamb, Ian A1 - Fieseler, Kate A1 - Franklin, Barnabas A. A1 - George, Janine A1 - Grundy, Joanna A1 - Johal, Jay A1 - Kalikadien, Adarsh V. A1 - Kapil, Venkat A1 - Kotopanov, Lyubomir A1 - Kumar, Vishank A1 - Kuttner, Christian A1 - Lederbauer, Magdalena A1 - Ojeda-Porras, Andrea Carolina A1 - Pang, Jiayun A1 - Parkes, Michael A1 - Pemberton, Miles A1 - Ruscic, Branko A1 - Ryder, Matthew R. A1 - Sakaushi, Ken A1 - Saleh, Gabriele A1 - Savoie, Brett M. A1 - Schwaller, Philippe A1 - Skjelstad, Bastian Bjerkem A1 - Sun, Wenhao A1 - Taniguchi, Takuya A1 - Taylor, Christopher R. A1 - Torrisi, Steven A1 - Vishnoi, Shubham A1 - Walsh, Aron A1 - Wu, Ruiqi T1 - Discovering trends in big data: General discussion N2 - This article is a discussion of the paper "Specialising and analysing instruction-tuned and byte-level language models for organic reaction prediction" by Jiayun Pang and Ivan Vulić (Faraday discussions, 2025, 256, 413-433). KW - Automation KW - Big data KW - Machine learning KW - Materials design KW - Chemically complex materials PY - 2025 DO - https://doi.org/10.1039/D4FD90063D SN - 1359-6640 SN - 1364-5498 VL - 256 IS - Themed collection: Data-driven discovery in the chemical sciences SP - 520 EP - 550 PB - Royal Society of Chemistry (RSC) CY - Cambridge AN - OPUS4-62652 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -