A Survey for In-context Learning, by This paper surveys and summarizes the progress and challenges of ICL, including ICL's formal definition, correlation to related studies, advanced techniques (training strategies, related analysis) and potential directions. , by by , by , by by by , by , byLin Geng Foo, Hossein Rahmani and Jun L...
Apache Sparkis the engine that implements distributed parallel processing on Databricks. In a high level, it allows parallel computations over data stored in distributed filesystems. There are different ways in which this parallel computation can be implemented on Spark...
Developers across the world are building innovative generative AI solutions since the launch of Azure OpenAI Service in January 2023. Over 53,000 customers globally harness the capabilities of expansive generative AI models, supported by the robust commitments of Azure's cloud an...
Direct-acting antiviral DAA Open Reading Frame ORF Epstein-Barr Virus EBV Protein-Protein Interaction PPI Evolutionary Non-dominated Radial slots-based Algorithm ENORA Pseudo AAC PseAAC Explainable Artificial Intelligence XAI Quasi Sequence Order Descriptor QSOD False Negative FN Random Forest RF False Posi...
A Survey of Large Language Models, byWayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang et al. Survey of Hallucination in Natural Language Generation, byZiwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii...
stronger performancecompared to its predecessor text-embedding-ada-002. Given its efficiency, pricing for this model is $0.00002 per 1k tokens, a5x price reductioncompared to that of text-embedding-ada-002. We are not deprecating text-embedding-ada-002...
This paper proposes to use self-supervision (MLM, NSP, CL, etc.) between pre-training and downstream usage to teach the LM to perform in-context learning. Analysis reveals that: (1) benefits of self-supervised depends on the amount of training data, ...
energies Review State of the Art of Machine Learning Models in Energy Systems, a Systematic Review Amir Mosavi 1,2,3 , Mohsen Salimi 4 , Sina Faizollahzadeh Ardabili 5, Timon Rabczuk 6, Shahaboddin Shamshirband 7,8,* and Annamaria R. Varkonyi-Koczy 9 1 School of the Built Environment...
energies Review Review of Soft Computing Models in Design and Control of Rotating Electrical Machines Adrienn Dineva 1, Amir Mosavi 1,2,3,4, Sina Faizollahzadeh Ardabili 5, Istvan Vajda 1, Shahaboddin Shamshirband 6,7,* , Timon Rabczuk 8 and Kwok-Wing Chau 9 1 Institute of Automation, ...
Over roughly the last decade, there have been major advances in the quantification of marine aerosol sources, and this has been in part because logistical barriers are being overcome [15]. As aerosol uncertainties are steadily reduced in coming years, there will be parallel needs for both ...