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Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners
[article]
2023
arXiv
pre-print
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In this paper, we propose CaFo, a Cascade of Foundation models that incorporates diverse prior knowledge of various pre-training paradigms for better few-shot learning. ...
Specifically, CaFo works by 'Prompt, Generate, then Cache'. Firstly, we leverage GPT-3 to produce textual inputs for prompting CLIP with rich downstream linguistic semantics. ...
Conclusion We propose CaFo, a cascade of foundation models that comprehends diverse knowledge from different pre-training and follows the 'Prompt, Generate, then Cache' pipeline. ...
arXiv:2303.02151v1
fatcat:ll5f25uhvzb2vfj2ssn6kcp6gm
Caching Mechanism in Peer-to-Peer Networks through Active XML
2012
Journal of Software
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Finally, some examples are given, illustrating the effectiveness of the proposed approach in modeling and analyzing of large systems. ...
Petri net systems synthesis can construct large systems without the requirement of reachability analysis so that it can reduce the high complexity of analyzing global system. ...
This work was supported in part by a grant from the Natural Science Foundation of Guangdong (101510631-01000046) and the National Science Foundation of China (60940033). ...
doi:10.4304/jsw.7.3.508-515
fatcat:6vlsijzaxjbohh3ti5toew7rmi
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
[article]
2023
arXiv
pre-print
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language models, and the potential ways of making use of large language models for personalization. ...
Instead of being a passive medium of information filtering, large language models present the foundation for active user engagement. ...
• From the perspective of recommendation performance, zero-shot recommenders exhibit some capabilities and few-shot learners perform better than zeroshot recommenders. ...
arXiv:2307.16376v1
fatcat:otr2qfc3ubhlno3nz6cy5foq3a
A Comprehensive Overview of Large Language Models
[article]
2024
arXiv
pre-print
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2024 pre-print arXiv:2307.06435v8 fatcat:5tebwyl365ejbplyotoodxmy4yOther Versions
Large Language Models (LLMs) have recently demonstrated remarkable capabilities in natural language processing tasks and beyond. ...
This success of LLMs has led to a large influx of research contributions in this direction. ...
Zero-Shot Prompting: LLMs are zero-shot learners and capable of answering queries never seen before. ...
arXiv:2307.06435v9
fatcat:5thje425tfcobaitnquetdbt4u
The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents
[article]
2022
arXiv
pre-print
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To do so, we introduce a partially observable decision-making domain we call the Frost Hollow. ...
Our results therefore point to an actionable, constructivist path towards continual communication learning between reinforcement learning agents, with potential impact in a range of real-world settings ...
of the work are appropriately investigated and resolved. ...
arXiv:2203.09498v1
fatcat:6xz7qtnpyfckpkoqwu7txuua2q
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens
[article]
2023
arXiv
pre-print
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FDT is a set of learnable tokens representing certain visual-semantic concepts. ...
Both images and texts are embedded using shared FDT by first grounding multimodal inputs to FDT space and then aggregating the activated FDT representations. ...
Prompt, generate, then cache: Cascade of foundation models makes strong few-shot learners. ...
arXiv:2303.14865v1
fatcat:xaaco7yidbff3bblu6ygca6nqa
Crawler
[chapter]
2009
Encyclopedia of Database Systems
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Cache-conscious algorithms typically employ knowledge of architectural parameters such as cache size and latency. ...
Synonyms Cache-aware query processing; Cache-sensitive query processing Definition Query processing algorithms are designed to efficiently exploit the available cache units in the memory hierarchy. ...
Therefore, it is natural to define any procedure for constructing strong universal models by steps which always preserve strong universality while attempting to obtain a model and then to check whether ...
doi:10.1007/978-0-387-39940-9_2315
fatcat:x4qspjdytvhvroc7h753dihp7u
Vlogging
2010
ACM Computing Surveys
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We also make an in-depth investigation of various vlog mining topics from a research perspective and present several incentive applications such as user-targeted video advertising and collective intelligence ...
Vlogs have gained much attention worldwide, especially with Google's acquisition of YouTube. ...
ACKNOWLEDGMENTS We wish to express our thanks to the anonymous reviewers who provided many helpful comments on the earlier version of this article. ...
doi:10.1145/1749603.1749606
fatcat:qeopjzg4j5bwparwtbmvwdesd4
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration
[article]
2023
arXiv
pre-print
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To justify the claim, we provide a general definition for continuum orchestration, and look at how current and emerging orchestration paradigms are suitable for the computing continuum. ...
Finally, we survey current key edge AI methods and look at how they may contribute into fulfilling the vision of future continuum orchestration. ...
the discussions and insights during the writing of this manuscript. ...
arXiv:2205.01423v3
fatcat:g4wkzm5qzjhxpgiqmkjb3dghnu
Great Expectations: Unsupervised Inference of Suspense, Surprise and Salience in Storytelling
[article]
2022
arXiv
pre-print
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Other work adapts the models as a planning system for generating original stories. The thesis finds that applying the narrative theory to deep learning models can align with the typical reader. ...
The thesis trains a series of deep learning models via only reading stories, a self-supervised (or unsupervised) system. ...
call foundation models. ...
arXiv:2206.09708v1
fatcat:k4oefywyxvgn5gdtedyvr5mbpi
THEORY, PERSPECTIVES AND PRACTICES ACROSS DISCIPLINES
[article]
2022
Zenodo
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The book aims to provide a forum for the exchange of ideas on the Global Issues in Multidisciplinary Academic Research during recent times. ...
It needs a strong mental and emotional foundation to build an inner excellence. Attitude, decision making, goal setting, time management are the self-managed skills. ...
The port's closure prompted forwarders to signal further cargo disruption, with containerships being diverted which had cascading effects on shipping lines, importers, and exporters. ...
doi:10.5281/zenodo.7676132
fatcat:zlxikqxc5bgerayylj3uawu6n4
Trustworthy Machine Learning
[article]
2023
arXiv
pre-print
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Models unexpectedly fail to generalize to small changes in the distribution, tend to be confident on novel data they have never seen, or cannot communicate the rationale behind their decisions effectively ...
This textbook on Trustworthy Machine Learning (TML) covers a theoretical and technical background of four key topics in TML: Out-of-Distribution Generalization, Explainability, Uncertainty Quantification ...
Large Language Models and Zero-Shot Learning Large Language Models (LLMs) are capable of performing zero-shot learning [106] (called zero-shot-CoT prompting). ...
arXiv:2310.08215v1
fatcat:qqzrk7sqjncgdlk6ub3drbcr7y
Critical infrastructure automated immuno-response system (CIAIRS)
2016
2016 International Conference on Control, Decision and Information Technologies (CoDIT)
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ACKNOWLEDGEMENTS "In the Name of Allah, the Most Beneficent, the Most Merciful" I would like to start by thanking "ALLAH"; I wouldn't be able to finish this journey without his generous help. ...
I had a lot of ups and downs but my faith in "Allah" was bigger and I was sure he would never leave me alone. Finally, I can say "one of my dreams came true!" ...
The results in this thesis propose a strong foundation for future work in three main sections, which can be highlighted as follows:
Broadcasting with Different Systems Our proposed CIAIRS broadcasting ...
doi:10.1109/codit.2016.7593542
dblp:conf/codit/BadriFH16
fatcat:t4l4fqbv3fdudl4na7vk5o5jfe
Emerging Trends in Management, IT and Education
2019
Zenodo
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But if educators make it clear and transparent that they also lack some sort of knowledge then learners have more opportunity to rely on their own analytical powers and problem-solving skills. ...
Social institutions will be effective while they have a strong foundation or base of education. Education can strengthen social institutions. ...
And concentrate on main or core functions of the business. It helps to increase productivity, quality of product, reduction in cost, expansion of business, profit making and etc. ...
doi:10.5281/zenodo.3492020
fatcat:wytrxibqsjegfi6oouvfjcoiia
Foreword of Special Issue on "Nomadic Services and Applications"
2011
Journal of Networks
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management model is strong and providing real-time hosts. ...
learning helps learners generate new ideas, and
For instance, a school only provides a few numbers of
competition will be objective and motivation ...
doi:10.4304/jnw.6.5.687-688
fatcat:3qws6kqycnffxnh6n6th6ioc5a
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