Search Results for author:
Found 11 papers, 5 papers with code
A Survey on Retrieval-Augmented Text Generation for Large Language Models
Retrieval-Augmented Generation (RAG) merges retrieval methods with deep learning advancements to address the static limitations of large language models (LLMs) by enabling the dynamic integration of up-to-date external information.
Exploring ChatGPT for Next-generation Information Retrieval: Opportunities and Challenges
The rapid advancement of artificial intelligence (AI) has highlighted ChatGPT as a pivotal technology in the field of information retrieval (IR).
DataCI: A Platform for Data-Centric AI on Streaming Data
We introduce DataCI, a comprehensive open-source platform designed specifically for data-centric AI in dynamic streaming data settings.
Towards Balanced Active Learning for Multimodal Classification
Our studies demonstrate that the proposed method achieves more balanced multimodal learning by avoiding greedy sample selection from the dominant modality.
MIGPerf: A Comprehensive Benchmark for Deep Learning Training and Inference Workloads on Multi-Instance GPUs
The vision of this paper is to provide a more comprehensive and practical benchmark study for MIG in order to eliminate the need for tedious manual benchmarking and tuning efforts.
Active-Learning-as-a-Service: An Automatic and Efficient MLOps System for Data-Centric AI
In data-centric AI, active learning (AL) plays a vital role, but current AL tools 1) require users to manually select AL strategies, and 2) can not perform AL tasks efficiently.
Progressive Continual Learning for Spoken Keyword Spotting
Catastrophic forgetting is a thorny challenge when updating keyword spotting (KWS) models after deployment.
ModelCI-e: Enabling Continual Learning in Deep Learning Serving Systems
MLOps is about taking experimental ML models to production, i. e., serving the models to actual users.
A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning
To save bandwidth and reduce RTT, VPaaS provides a new video streaming protocol that only sends low-quality video to the cloud.
InferBench: Understanding Deep Learning Inference Serving with an Automatic Benchmarking System
Our system design follows the best practice in DL clusters operations to expedite day-to-day DL service evaluation efforts by the developers.
MLModelCI: An Automatic Cloud Platform for Efficient MLaaS
MLModelCI provides multimedia researchers and developers with a one-stop platform for efficient machine learning (ML) services.
