Robuta

https://www.slb.com/videos/spe-tech-talk-drilling-analytics-with-intertwined-ai-and-domain-models Drilling analytics with intertwined AI and domain models | SLB Host Zachary Evans is joined by Maurice Ringer, product owner, drilling operations (Cloud Solutions) SLB, to discuss drilling performance analysis and... domain modelsdrillinganalyticsintertwinedslb https://dev.to/g-fuchter/should-domain-models-have-interfaces-4h30 Should Domain Models Have Interfaces? - DEV Community When developing a project following Domain-Driven Design and clean architecture, one might ask... Tagged with architecture, ddd, cleancode. domain modelsinterfacesdevcommunity https://www.utwente.nl/en/eemcs/scs/education/assignments/finished-assignments/master/20180907-master-thesis-2/ Leveraging behavioural domain models in Model-Driven User Interface development with GLUI |... domain models https://www.pluralsight.com/courses/modern-software-architecture-domain-models-cqrs-event-sourcing Modern Software Architecture: Domain Models, CQRS, and Event Sourcing modern softwaredomain modelsarchitecturecqrsevent https://openreview.net/forum?id=oBikm5Rshc Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models | OpenReview For an LLM to correctly respond to an instruction it must understand both the semantics and the domain (i.e., subject area) of a given task-instruction pair.... https://www.amazon.science/blog/domain-data-trumps-teacher-knowledge-for-distilling-nlu-models Domain data trumps teacher knowledge for distilling NLU models - Amazon Science Mar 27, 2024 - On natural-language-understanding tasks, student models trained only on task-specific data outperform those trained on a mix that includes generic data. domain datatrumpsteacherknowledge https://deepai.org/publication/can-we-evaluate-domain-adaptation-models-without-target-domain-labels-a-metric-for-unsupervised-evaluation-of-domain-adaptation Can We Evaluate Domain Adaptation Models Without Target-Domain Labels? A Metric for Unsupervised... May 30, 2023 - 05/30/23 - Unsupervised domain adaptation (UDA) involves adapting a model trained on a label-rich source domain to an unlabeled target domain... https://openreview.net/forum?id=F8rniHIK3H Enhancing Reasoning to Adapt Large Language Models for Domain-Specific Applications | OpenReview This paper presents SOLOMON, a novel Neuro-inspired Large Language Model (LLM) Reasoning Network architecture that enhances the adaptability of foundation... large language models https://www.sintef.no/en/publications/publication/01995c89ae3c-05ace85f-cbed-48f8-bb79-90c0369eaac6/ Time Domain Implementation of Rational Models of Power System Components With Calculation of... power system componentstime domainimplementationrational https://www.amazon.science/alexa-prize/proceedings/genuine2-an-open-domain-chatbot-based-on-generative-models Genuine2: An open domain chatbot based on generative models - Amazon Science This paper describes the architecture, methodology and results of the Genuine2 chatbot for the Alexa Socialbot Grand Challenge 4. In contrast to previous... based ongenerative modelsopendomainchatbot https://jmlr.org/papers/v22/20-1227.html Domain adaptation under structural causal models domain adaptationstructuralcausalmodels https://deepai.org/publication/domainstudio-fine-tuning-diffusion-models-for-domain-driven-image-generation-using-limited-data DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data |... Jun 25, 2023 - 06/25/23 - Denoising diffusion probabilistic models (DDPMs) have been proven capable of synthesizing high-quality images with remarkable dive... https://aclanthology.org/2021.paclic-1.64/ Optimizing Domain Specificity of Transformer-based Language Models for Extractive Summarization of... Huije Lee, Wonsuk Yang, Chaehun Park, Hoyun Song, Eugene Jang, Jong C. Park. Proceedings of the 35th Pacific Asia Conference on Language, Information and... language modelsoptimizingdomainspecificitytransformer https://openreview.net/forum?id=ESCL5T3EgV FDAPT: Federated Domain-adaptive Pre-training for Language Models | OpenReview Foundation models (FMs) have shown prominent success in a wide range of tasks [Bommasani et al., 2021]. Their applicability to specific domain-task pairings... pre traininglanguage modelsfederateddomainadaptive