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