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Inference Optimization

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Showing 26–50 of 56 papers

TitleStatusHype
The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities—0
An approach to optimize inference of the DIART speaker diarization pipeline—0
LLaSA: Large Language and E-Commerce Shopping AssistantCode0
Patched MOA: optimizing inference for diverse software development tasksCode0
Inference Optimization of Foundation Models on AI Accelerators—0
Robust Zero-Shot Text-to-Speech Synthesis with Reverse Inference Optimization—0
Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval—0
Efficiency optimization of large-scale language models based on deep learning in natural language processing tasks—0
Advances and Open Challenges in Federated Foundation Models—0
Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization—0
Integrating Pre-Trained Speech and Language Models for End-to-End Speech Recognition—0
SySMOL: Co-designing Algorithms and Hardware for Neural Networks with Heterogeneous Precisions—0
Bayesian Active Learning in the Presence of Nuisance Parameters—0
Representing Edge Flows on Graphs via Sparse Cell ComplexesCode0
Residual-Based Error Corrector Operator to Enhance Accuracy and Reliability of Neural Operator Surrogates of Nonlinear Variational Boundary-Value Problems—0
Networked Signal and Information Processing—0
Enhanced graph-learning schemes driven by similar distributions of motifsCode0
Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation—0
Easy and Efficient Transformer: Scalable Inference Solution For Large NLP Model—0
SBbadger: Biochemical Reaction Networks with Definable Degree Distributions—0
Bifocal Neural ASR: Exploiting Keyword Spotting for Inference Optimization—0
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks—0
Investigations on the inference optimization techniques and their impact on multiple hardware platforms for Semantic Segmentation—0
SNDCNN: Self-normalizing deep CNNs with scaled exponential linear units for speech recognition—0
A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data—0
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