Zero-shot multitask learning (Practical AI #158) |> Changelog
source link: https://changelog.com/practicalai/158
Go to the source link to view the article. You can view the picture content, updated content and better typesetting reading experience. If the link is broken, please click the button below to view the snapshot at that time.
Brought to you by
In this Fully-Connected episode, Daniel and Chris ponder whether in-person AI conferences are on the verge of making a post-pandemic comeback. Then on to BigScience from Hugging Face, a year-long research workshop on large multilingual models and datasets. Specifically they dive into the T0, a series of natural language processing (NLP) AI models specifically trained for researching zero-shot multitask learning. Daniel provides a brief tour of the possible with the T0 family. They finish up with a couple of new learning resources.
Recommend
-
147
README.md The Natural Language...
-
41
Introduction A regularizer is commonly used in machine learning to constrain a model’s capacity to cerain bounds either based on a statistical norm or on prior hypotheses. This adds preference for one solution...
-
13
【资源】Zero-Shot Learning 相关资源大列表 1年前 ⋅...
-
7
Practical AI – Episode #153 Federated Learning 📱 get Fully-Connected with Chris and Daniel
-
7
IntelliJ Rust Changelog #158 25 Oct 2021 New Features #7194 Provide initial support for
-
4
Roland Meertens on the Unreasonable Effectiveness of Zero Shot Learning Nov 18, 2021...
-
7
Improving AI-assisted conversation with zero-shot learning August 28, 2022 ...
-
2
Changelog #158 Dec 5, 2022 New Features #13690 implement vararg pa...
-
10
This article was published as a part of the Data Science Blogathon. Introduction Humans can identify new objects with fewer examples. However, machines w...
-
5
Zero-shot learning and the foundations of generative AI This alternative to training with huge data sets has potential for business, but data science tea...
About Joyk
Aggregate valuable and interesting links.
Joyk means Joy of geeK