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This survey explores the synergistic potential of Large Language Models (LLMs) and Vector Databases (VecDBs), a burgeoning but rapidly evolving research area.
Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions
Alexandr Andoni and Piotr Indyk · 2008
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Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration
Marius Muja and David G Lowe · 2009
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Quality and efficiency in high dimensional nearest neighbor search
Yufei Tao, Ke Yi, et al · 2009
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Product Quantization for Nearest Neighbor Search
Hervé Jégou, Matthijs Douze, et al · 2011
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Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Caglar Gulcehre, et al · 2014
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How transferable are features in deep neural networks?
Jason Yosinski, Jeff Clune, et al · 2014
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Recurrent neural network regularization
Wojciech Zaremba, Ilya Sutskever, et al · 2014
Earlier work this paper cites.
Convolutional lstm network: A machine learning approach for precipitation nowcasting
Xingjian Shi, Zhourong Chen, et al · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, et al · 2016
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Measuring catastrophic forgetting in neural networks
Ronald Kemker, Marc McClure, et al · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, et al · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, et al · 2018
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Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs
Yury A Malkov and Dmitry A Yashunin · 2018
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, et al · 2019
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Energy and policy considerations for deep learning in nlp
Emma Strubell, Ananya Ganesh, et al · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, et al · 2020
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Scaling laws for neural language models
Jared Kaplan, Sam McCandlish, et al · 2020
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Generalization through memorization: Nearest neighbor language models, 2020
Urvashi Khandelwal, Levy Omer, et al · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, et al · 2020
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Green ai
Roy Schwartz, Jesse Dodge, et al · 2020
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On the dangers of stochastic parrots: Can language models be too big?
Emily M Bender, Timnit Gebru, et al · 2021
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Spann: Highly-efficient billion-scale approximate nearest neighbor search
Qi Chen, Bing Zhao, et al · 2021
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Milvus: A purpose-built vector data management system
Jianguo Wang, Xiaomeng Yi, et al · 2021
Cited alongside, same era.
Sustainable ai: Ai for sustainability and the sustainability of ai
Almee V Wynsberghe · 2021
Cited alongside, same era.
Cm3: A causal masked multimodal model of the internet
Armen Aghajanyan, Bernie Huang, et al · 2022
Cited alongside, same era.
Flamingo: a visual language model for few-shot learning
Jean Alayrac, Jeff Donahue, et al · 2022
Cited alongside, same era.
Red teaming language models to reduce harms: Methods, scaling behaviors, and lessons learned
Deep Ganguli, Liane Lovitt, et al · 2022
Cited alongside, same era.
Knowledge graph-augmented language models for knowledge-grounded dialogue generation
Minki Kang and Jin M Kwak · 2023
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Grounding language models to images for multimodal inputs and outputs
Jing Yu Koh, Ruslan Salakhutdinov, et al · 2023
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Privacy in large language models: Attacks, defenses and future directions
Haoran Li, Yulin Chen, et al · 2023
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Junnan Li Li, Dongxu Li, et al · 2023
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An empirical study of catastrophic forgetting in large language models during continual fine-tuning
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Gautier Izacard, Lewis Patrick, et al · 2022
Cited alongside, same era.
Aligning artificial intelligence with climate change mitigation
Lynn H Kaack, Priya L Donti, et al · 2022
Cited alongside, same era.
Deduplicating training data makes language models better
Katherine Lee, Daphne Ippolito, et al · 2022
Cited alongside, same era.
TruthfulQA: Measuring how models mimic human falsehoods
Stephanie Lin, Jacob Hilton, and Owain Evans · 2022
Cited alongside, same era.
EASE: Entity-aware contrastive learning of sentence embedding
Sosuke Nishikawa, Ryokan Ri, et al · 2022
Cited alongside, same era.
Entity cloze by date: What LMs know about unseen entities
Yasumasa Onoe, Michael Zhang, et al · 2022
Cited alongside, same era.
Emergent abilities of large language models
Jason Wei, Yi Tay, et al · 2022
Cited alongside, same era.
Yun Luo, Zhen Yang, et al · 2023
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Ret-llm: Towards a general read-write memory for large language models
Ali Modarressi, Ayyoob Imani, et al · 2023
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A cost analysis of generative language models and influence operations
Micah Musser · 2023
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Nationality bias in text generation
Pranav Narayanan Venkit, Sanjana Gautam, et al · 2023
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Survey of vector database management systems
James Jie Pan, Jianguo Wang, et al · 2023
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Guilherme Penedo, Quentin Malartic, et al · 2023
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In-context retrieval-augmented language models
Ori Ram, Yoav Levine, et al · 2023
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E-scan: Consuming contextual data with model plugins
Viktor Sanca and Anastasia Ailamaki · 2023
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Llasm: Large language and speech model
Yu Shu, Siwei Dong, et al · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, et al · 2023
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Must: An effective and scalable framework for multimodal search of target modality
Mengzhao Wang and Xiangyu Ke et al · 2023
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Lift yourself up: Retrieval-augmented text generation with self memory
Cheng Xin, Luo Di, et al · 2023
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Vid2seq: Large-scale pretraining of a visual language model for dense video captioning
Antoine Yang, Arsha Nagrani, et al · 2023
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Editing large language models: Problems, methods, and opportunities
Yunzhi Yao, Peng Wang, et al · 2023
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Generate rather than retrieve: Large language models are strong context generators
Wenhao Yu, Dan Iter, et al · 2023
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Text-to-image diffusion models in generative ai: A survey
Chenshuang Zhang, Chaoning Zhang, et al · 2023
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Long-term memory for large language models through topic-based vector database
Yi Zhang, Zhongyang Yu, et al · 2023
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