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The rapid advances in Large Language Models (LLMs) have the potential to transform manufacturing industry, offering new opportunities to optimize processes, improve efficiency, and drive innovation.
Smiles, a chemical language and information system. 1. introduction to methodology and encoding rules
David Weininger · 1988
Earlier work this paper cites.
Statistical process control for the process industries
John A. Shaw · 1991
Earlier work this paper cites.
Optimal inventory policy under different supplier credit policies
Moutaz Khouja and Abraham Mehrez · 1996
Earlier work this paper cites.
Statistical quality control and improvement
Michael Stuart, Eamonn Mullins, and Eileen Drew · 1996
Earlier work this paper cites.
Maximum likelihood estimation of pure garch and arma-garch processes
Christian Francq and Jean-Michel Zakoian · 2004
Earlier work this paper cites.
A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems
Arash Bahrammirzaee · 2010
Earlier work this paper cites.
Mcmc-based estimation of markov switching arma–garch models
Jan S Henneke, Svetlozar T Rachev, Frank J Fabozzi, and Metodi Nikolov · 2011
Earlier work this paper cites.
Patent strategy and management: An integrative review and research agenda
Deepak Somaya · 2012
Earlier work this paper cites.
Analysis of patent management effects on technological innovation performance
Yong Cao and Li Zhao · 2013
Earlier work this paper cites.
Gradient boosting machines, a tutorial
Alexey Natekin and Alois Knoll · 2013
Earlier work this paper cites.
Vqa: Visual question answering
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C Lawrence Zitnick, and Devi Parikh · 2015
Earlier work this paper cites.
A new statistical approach to automated quality control in manufacturing processes
Michael W. Milo, Michael Roan, and Bradley Harris · 2015
Earlier work this paper cites.
Handbook of Financial Time Series
Torben Gustav Andersen, Richard A. Davis, Jens-Peter Krei, Thomas Mikosch, Jens-Peter Kreia, and Jens-Peter Kreiss · 2016
Earlier work this paper cites.
Additive manufacturing methods and modelling approaches: a critical review
Harry Bikas, Panagiotis Stavropoulos, and George Chryssolouris · 2016
Earlier work this paper cites.
How to create commercial value from patents: the role of patent management
Holger Ernst, James Conley, and Nils Omland · 2016
Earlier work this paper cites.
Conditional image generation with pixelcnn decoders
Aaron Van den Oord, Nal Kalchbrenner, Lasse Espeholt, Oriol Vinyals, Alex Graves, et al · 2016
Earlier work this paper cites.
Application of 7 quality control (7 qc) tools for quality management: A case study of a liquid chemical warehousing
Punyisa Kuendee · 2017
Earlier work this paper cites.
Redesigning patent management process: an action research study
Benedetta Soranzo, Anna Nosella, and Roberto Filippini · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Generative adversarial networks: An overview
Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, and Anil A Bharath · 2018
Earlier work this paper cites.
The future of manufacturing industry: a strategic roadmap toward industry 4.0
Morteza Ghobakhloo · 2018
Earlier work this paper cites.
A review on quality control in additive manufacturing
Hoejin Kim, Yirong Lin, and Tzu-Liang Bill Tseng · 2018
Earlier work this paper cites.
KNOWLEDGE IN ENGINEERING DESIGN: A SYSTEMATIC LITERATURE REVIEW ON ARTIFACTS AND IT SYSTEMS
Maurice Preidel, Wei Min Wang, Konrad Exner, and Rainer Stark · 2018
Earlier work this paper cites.
Deep learning for smart manufacturing: Methods and applications
Jinjiang Wang, Yulin Ma, Laibin Zhang, Robert X Gao, and Dazhong Wu · 2018
Earlier work this paper cites.
A brief overview of the use of collaborative robots in industry 4.0: Human role and safety
Sara Bragança, Eric Costa, Ignacio Castellucci, and Pedro M Arezes · 2019
Earlier work this paper cites.
Hardfails: insights into software-exploitable hardware bugs
Ghada Dessouky, David Gens, Patrick Haney, Garrett Persyn, Arun Kanuparthi, Hareesh Khattri, Jason M. Fung, Ahmad-Reza Sadeghi, and Jeyavijayan Rajendran · 2019
Earlier work this paper cites.
An artificial neural network assisted optimization system for analog design space exploration
Yaping Li, Yong Wang, Yusong Li, Ranran Zhou, and Zhaojun Lin · 2019
Earlier work this paper cites.
Parametric CAD modeling for open source scientific hardware: Comparing OpenSCAD and FreeCAD python scripts
Felipe Machado, Norberto Malpica, and Susana Borromeo · 2019
Earlier work this paper cites.
A comparison of traditional manufacturing vs additive manufacturing, the best method for the job
Tanisha Pereira, John V Kennedy, and Johan Potgieter · 2019
Earlier work this paper cites.
Artificial intelligence in education: Challenges and opportunities for sustainable development
Francesc Pedro, Miguel Subosa, Axel Rivas, and Paula Valverde · 2019
Earlier work this paper cites.
A perspective on quality-by-control (qbc) in pharmaceutical continuous manufacturing
Qinglin Su, Sudarshan Ganesh, Mariana Moreno, Yasasvi Bommireddy, Marcial Gonzalez, Gintaras V. Reklaitis, and Zoltan K. Nagy · 2019
Earlier work this paper cites.
Patent value analysis using deep learning models—the case of iot technology mining for the manufacturing industry
Amy JC Trappey, Charles V Trappey, Usharani Hareesh Govindarajan, and John JH Sun · 2019
Earlier work this paper cites.
Chemberta: large-scale self-supervised pretraining for molecular property prediction
Seyone Chithrananda, Gabriel Grand, and Bharath Ramsundar · 2020
Earlier work this paper cites.
Patent management strategies: A review
Tomasz Grzegorczyk and Robert Głowiński · 2020
Earlier work this paper cites.
Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2020
Earlier work this paper cites.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
Recent advances in multi-material additive manufacturing: methods and applications
Daehoon Han and Howon Lee · 2020
Earlier work this paper cites.
Additive manufacturing method and different welding applications
Elif Karayel and Yahya Bozkurt · 2020
Earlier work this paper cites.
Molecule attention transformer
Łukasz Maziarka, Tomasz Danel, Sławomir Mucha, Krzysztof Rataj, Jacek Tabor, and Stanisław Jastrzębski · 2020
Earlier work this paper cites.
Generation-augmented retrieval for open-domain question answering
Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, and Weizhu Chen · 2020
Earlier work this paper cites.
Student emotion recognition using computer vision as an assistive technology for education
Dustin van der Haar · 2020
Earlier work this paper cites.
X-mol: large-scale pre-training for molecular understanding and diverse molecular analysis
Dongyu Xue, Han Zhang, Dongling Xiao, Yukang Gong, Guohui Chuai, Yu Sun, Hao Tian, Hua Wu, Yukun Li, and Qi Liu · 2020
Earlier work this paper cites.
Using deep learning to detect defects in manufacturing: a comprehensive survey and current challenges
Jing Yang, Shaobo Li, Zheng Wang, Hao Dong, Jun Wang, and Shihao Tang · 2020
Earlier work this paper cites.
Generative pre-training from molecules
Sanjar Adilov · 2021
Earlier work this paper cites.
Program synthesis with large language models
Jacob Austin, Augustus Odena, Maxwell Nye, Maarten Bosma, Henryk Michalewski, David Dohan, Ellen Jiang, Carrie Cai, Michael Terry, Quoc Le, et al · 2021
Earlier work this paper cites.
De novo protein design by deep network hallucination
Ivan Anishchenko, Samuel J Pellock, Tamuka M Chidyausiku, Theresa A Ramelot, Sergey Ovchinnikov, Jingzhou Hao, Khushboo Bafna, Christoffer Norn, Alex Kang, Asim K Bera, et al · 2021
Earlier work this paper cites.
Molgpt: molecular generation using a transformer-decoder model
Viraj Bagal, Rishal Aggarwal, PK Vinod, and U Deva Priyakumar · 2021
Earlier work this paper cites.
Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021
Earlier work this paper cites.
Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations
Payel Das, Tom Sercu, Kahini Wadhawan, Inkit Padhi, Sebastian Gehrmann, Flaviu Cipcigan, Vijil Chenthamarakshan, Hendrik Strobelt, Cicero Dos Santos, Pin-Yu Chen, et al · 2021
Earlier work this paper cites.
Spatial-temporal super-resolution of satellite imagery via conditional pixel synthesis
Yutong He, Dingjie Wang, Nicholas Lai, William Zhang, Chenlin Meng, Marshall Burke, David Lobell, and Stefano Ermon · 2021
Earlier work this paper cites.
Dlam: Deep learning based real-time porosity prediction for additive manufacturing using thermal images of the melt pool
Samson Ho, Wenlu Zhang, Wesley Young, Matthew Buchholz, Saleh Al Jufout, Khalil Dajani, Linkan Bian, and Mohammad Mozumdar · 2021
Earlier work this paper cites.
Mol-bert: An effective molecular representation with bert for molecular property prediction
Juncai Li and Xiaofei Jiang · 2021
Earlier work this paper cites.
Zero-shot text-to-image generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever · 2021
Earlier work this paper cites.
Protein design and variant prediction using autoregressive generative models
Jung-Eun Shin, Adam J Riesselman, Aaron W Kollasch, Conor McMahon, Elana Simon, Chris Sander, Aashish Manglik, Andrew C Kruse, and Debora S Marks · 2021
Earlier work this paper cites.
Mg-bert: leveraging unsupervised atomic representation learning for molecular property prediction
Xiao-Chen Zhang, Cheng-Kun Wu, Zhi-Jiang Yang, Zhen-Xing Wu, Jia-Cai Yi, Chang-Yu Hsieh, Ting-Jun Hou, and Dong-Sheng Cao · 2021
Earlier work this paper cites.
Workforce and supply chain disruption as a digital and technological innovation opportunity for resilient manufacturing systems in the covid-19 pandemic
Giuseppina Ambrogio, Luigino Filice, Francesco Longo, and Antonio Padovano · 2022
Earlier work this paper cites.
Business contract analysis using deep learning: a survey
Raid Alzubi and Nazeeh Ghatasheh · 2022
Earlier work this paper cites.
On the application of sentence transformers to automatic short answer grading in blended assessment
Abbirah Ahmed, Arash Joorabchi, and Martin J Hayes · 2022
Earlier work this paper cites.
An optimized collaborative scheduling algorithm for prioritized tasks with shared resources in mobile-edge and cloud computing systems
Amira A Amer, Ihab E Talkhan, Reem Ahmed, and Tawfik Ismail · 2022
Earlier work this paper cites.
Real-time inspection in detection magnetic flux leakage by deep learning integrated with concentrating non-destructive principle and electromagnetic induction
Nallamilli PG Bhavani, Ganapathy Senthilkumar, Shahnazeer Chembalakkat Kunjumohamad, Azhagu Jaisudhan Pazhani, Ravi Kumar, Abolfazl Mehbodniya, and Julian L Webber · 2022
Earlier work this paper cites.
National strategy for advanced manufacturing, 2022
NS Council et al · 2022
Earlier work this paper cites.
Deep learning in automated ultrasonic nde–developments, axioms and opportunities
Sergio Cantero-Chinchilla, Paul D Wilcox, and Anthony J Croxford · 2022
Earlier work this paper cites.
Analysis of classroom interaction using speaker diarization and discourse features from audio recordings
Oscar Canovas and Felix J Garcia · 2022
Earlier work this paper cites.
Bartsmiles: Generative masked language models for molecular representations
Gayane Chilingaryan, Hovhannes Tamoyan, Ani Tevosyan, Nelly Babayan, Lusine Khondkaryan, Karen Hambardzumyan, Zaven Navoyan, Hrant Khachatrian, and Armen Aghajanyan · 2022
Earlier work this paper cites.
A survey of deep learning approaches for financial report analysis
Jianliang Duan, Xiaotong Zhu, and Jianfeng Gao · 2022
Earlier work this paper cites.
A backbone-centred energy function of neural networks for protein design
Bin Huang, Yang Xu, Xiuhong Hu, Yongrui Liu, Shanhui Liao, Jiahai Zhang, Chengdong Huang, Jingjun Hong, Quan Chen, and Haiyan Liu · 2022
Earlier work this paper cites.
Codegen: An open large language model for code with multi-turn program synthesis
Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, and Caiming Xiong · 2022
Earlier work this paper cites.
Revitalizing the U.S. Semiconductor Ecosystem
President’s Council of Advisors on Science and Technology · 2022
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Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall · 2022
Earlier work this paper cites.
Social simulacra: Creating populated prototypes for social computing systems
Joon Sung Park, Lindsay Popowski, Carrie Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein · 2022
Earlier work this paper cites.
Exploring the use of gpt-3 as a tool for evaluating text-based collaborative discourse
Tanner Phillips, Asmalina Saleh, Krista D Glazewski, Cindy E Hmelo-Silver, Bradford Mott, and James C Lester · 2022
Earlier work this paper cites.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Earlier work this paper cites.
A pre-trained conditional transformer for target-specific de novo molecular generation
Wenlu Wang, Ye Wang, Honggang Zhao, and Simone Sciabola · 2022
Earlier work this paper cites.
A systematic evaluation of large language models of code
Frank F Xu, Uri Alon, Graham Neubig, and Vincent Josua Hellendoorn · 2022
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A human-robot dynamic fusion safety algorithm for collaborative operations of cobots
Shuai Zhang, Shiqi Li, Xiao Li, Youjun Xiong, and Zheng Xie · 2022
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Large language models in medical education: opportunities, challenges, and future directions
Alaa Abd-Alrazaq, Rawan AlSaad, Dari Alhuwail, Arfan Ahmed, Padraig Mark Healy, Syed Latifi, Sarah Aziz, Rafat Damseh, Sadam Alabed Alrazak, Javaid Sheikh, et al · 2023
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Mahyar Abedi, Ibrahem Alshybani, Muhammad Rubayat Bin Shahadat, and Michael Murillo · 2023
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Inverse design and ai/deep generative networks in food design: a comprehensive review
Mahmoud Al-Sarayreh, Mariza Gomes Reis, Alistair Carr, and Marlon Martins dos Reis · 2023
Internet of things for smart factories in industry 4.0, a review
Mohsen Soori, Behrooz Arezoo, and Roza Dastres · 2023
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How can llms transform the robotic design process?
Francesco Stella, Cosimo Della Santina, and Josie Hughes · 2023
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Using LLMs to code new tasks for robots
Alex Shipps · 2023
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The great unlock: Large language models in manufacturing
Sam Steiny and Shiv Trisal · 2023
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How ai and large language models are revolutionizing manufacturing
Shyla Kumar Thadikamala · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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Rt-2: Vision-language-action models transfer web knowledge to robotic control
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, et al · 2023
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Focus: Big data: Chatgpt and the future of journal reviews: A feasibility study
Som Biswas, Dushyant Dobaria, and Harris L Cohen · 2023
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Improving image generation with better captions
James Betker, Gabriel Goh, Li Jing, Tim Brooks, Jianfeng Wang, Linjie Li, Long Ouyang, Juntang Zhuang, Joyce Lee, Yufei Guo, et al · 2023
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Chip-chat: Challenges and opportunities in conversational hardware design
Jason Blocklove, Siddharth Garg, Ramesh Karri, and Hammond Pearce · 2023
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Assessing the capabilities of chatgpt to improve additive manufacturing troubleshooting
Silvia Badini, Stefano Regondi, Emanuele Frontoni, and Raffaele Pugliese · 2023
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Llm-assisted content analysis: Using large language models to support deductive coding
Robert Chew, John Bollenbacher, Michael Wenger, Jessica Speer, and Annice Kim · 2023
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Opportunities for generative ai in biotechnology
Jeffrey Colombe, John Dileo, Steven Fairchild, Michael Fine, Liz Merkhofer, Alex Tobias, and David Walburger · 2023
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Large language models as an interface to interact with api tools in natural language
Yohannes Gebreyohannes Tesfagiorgis and Bruno Miguel Monteiro Silva · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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Chatgpt for design, manufacturing, and education
Xingzhi Wang, Nabil Anwer, Yun Dai, and Ang Liu · 2023
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A brief overview of chatgpt: The history, status quo and potential future development
Tianyu Wu, Shizhu He, Jingping Liu, Siqi Sun, Kang Liu, Qing-Long Han, and Yang Tang · 2023
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Bloomberggpt: A large language model for finance
Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David Rosenberg, and Gideon Mann · 2023
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Cad-llm: Large language model for cad generation
Sifan Wu, Amir Khasahmadi, Mor Katz, Pradeep Kumar Jayaraman, Yewen Pu, Karl Willis, and Bang Liu · 2023
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Codet5+: Open code large language models for code understanding and generation
Yue Wang, Hung Le, Akhilesh Deepak Gotmare, Nghi DQ Bui, Junnan Li, and Steven CH Hoi · 2023
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Towards autonomous system: flexible modular production system enhanced with large language model agents
Yuchen Xia, Manthan Shenoy, Nasser Jazdi, and Michael Weyrich · 2023
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Transpolymer: a transformer-based language model for polymer property predictions
Changwen Xu, Yuyang Wang, and Amir Barati Farimani · 2023
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Supporting qualitative analysis with large language models: Combining codebook with gpt-3 for deductive coding
Ziang Xiao, Xingdi Yuan, Q Vera Liao, Rania Abdelghani, and Pierre-Yves Oudeyer · 2023
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FLUID-GPT (fast learning to understand and investigate dynamics with a generative pre-trained transformer): Efficient predictions of particle trajectories and erosion
Steve D. Yang, Zulfikhar A. Ali, and Bryan M. Wong · 2023
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Temporal data meets llm - explainable financial time series forecasting
Xinli Yu, Zheng Chen, Yuan Ling, Shujing Dong, Zongyi Liu, and Yanbin Lu · 2023
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Large scale foundation models for intelligent manufacturing applications: a survey
Haotian Zhang, Semujju Stuart Dereck, Zhicheng Wang, Xianwei Lv, Kang Xu, Liang Wu, Ye Jia, Jing Wu, Zhuo Long, Wensheng Liang, et al · 2023
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Large language models for robotics: A survey
Fanlong Zeng, Wensheng Gan, Yongheng Wang, Ning Liu, and Philip S Yu · 2023
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Chatgpt and ai: The game changer for education
Xiaoming Zhai · 2023
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Ecoassistant: Using llm assistant more affordably and accurately
Jieyu Zhang, Ranjay Krishna, Ahmed H Awadallah, and Chi Wang · 2023
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Ophtha-llama2: A large language model for ophthalmology
Huan Zhao, Qian Ling, Yi Pan, Tianyang Zhong, Jin-Yu Hu, Junjie Yao, Fengqian Xiao, Zhenxiang Xiao, Yutong Zhang, San-Hua Xu, et al · 2023
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Adding conditional control to text-to-image diffusion models
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
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When brain-inspired ai meets agi
Lin Zhao, Lu Zhang, Zihao Wu, Yuzhong Chen, Haixing Dai, Xiaowei Yu, Zhengliang Liu, Tuo Zhang, Xintao Hu, Xi Jiang, et al · 2023
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Accurate structure prediction of biomolecular interactions with alphafold 3
Josh Abramson, Jonas Adler, Jack Dunger, Richard Evans, Tim Green, Alexander Pritzel, Olaf Ronneberger, Lindsay Willmore, Andrew J Ballard, Joshua Bambrick, et al · 2024
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Syed Rameel Ahmad · 2024
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Overcoming llm challenges using rag-driven precision in coffee leaf disease remediation
Afifah Khan Mohammed Ajmal Khan, Imadh Ajaz Banday, Manikantha Gada, Vibha Venkatesh Shanbhag, et al · 2024
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Biomedlm: A 2.7 b parameter language model trained on biomedical text
Elliot Bolton, Abhinav Venigalla, Michihiro Yasunaga, David Hall, Betty Xiong, Tony Lee, Roxana Daneshjou, Jonathan Frankle, Percy Liang, Michael Carbin, et al · 2024
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Managing linux servers with llm-based ai agents: An empirical evaluation with gpt4
Charles Cao, Feiyi Wang, Lisa Lindley, and Zejiang Wang · 2024
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Can llms generate architectural design decisions?-an exploratory empirical study
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ChatEDA: A large language model powered autonomous agent for eda
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Compose and conquer: Diffusion-based 3d depth aware composable image synthesis
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The radiation oncology nlp database
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Surviving chatgpt in healthcare
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Supercharging Research: Harnessing Artificial intelligence to meet global challenges
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Intelligent manufacturing through generative artificial intelligence, such as chatgpt or bard
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Printed circuit board inspection using computer vision
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Trustllm: Trustworthiness in large language models
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Esplorare le capacità dei large language models nell’ottimizzare le operazioni della supply chain
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Llms for coding and robotics education
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