Few-shot Learning

8 Posts

Animation showing example questions and answers obtained by a pretrained language model
Few-shot Learning

Ask Me in a Different Way: Prompt Engineering Improves Few-Shot Learning Results

Pretrained language models like GPT-3 have shown notable proficiency in few-shot learning. Given a prompt that includes a few example questions and answers (the shots) plus an unanswered question (the task), such models can generate an accurate answer.
2 min read
Series of images showing some of the findings of the new study by researchers at Stanford’s Human AI Institute
Few-shot Learning

Weak Foundations Make Weak Models: Foundation AI Models Pass Flaws to Fine-Tuned Variants

A new study examines a major strain of recent research: huge models pretrained on immense quantities of uncurated, unlabeled data and then fine-tuned on a smaller, curated corpus.
2 min read
Few-shot Learning with a Universal Template (FLUTE)
Few-shot Learning

Pattern for Efficient Learning

Getting high accuracy out of a classifier trained on a small number of examples is tricky. You might train the model on several large-scale datasets prior to few-shot training, but what if the few-shot dataset includes novel classes? A new method performs well even in that case.
2 min read
Libel-detection system working
Few-shot Learning

Double Check for Defamation

A libel-detection system could help news outlets and social media companies stay out of legal hot water. CaliberAI, an Irish startup, scans text for statements that could be considered defamatory, Wired reported.
2 min read
Graphs and data related to visualized tokens (or vokens)
Few-shot Learning

Better Language Through Vision

For children, associating a word with a picture that illustrates it helps them learn the word’s meaning. Research aims to do something similar for machine learning models. Researchers improved a BERT model’s performance on some language tasks by training it on a large dataset of image-word pairs.
2 min read
Series of pictures of people smiling
Few-shot Learning

Deepfakes for Good

A strategy manifesto from one of China’s biggest tech companies declares, amid familiar visions of ubiquitous AI, that deepfakes are more boon than bane.
2 min read
Data related to few-shot learning
Few-shot Learning

Small Data the Simple Way

Few-shot learning seeks to build models that adapt to novel tasks based on small numbers of training examples. This sort of learning typically involves complicated techniques, but researchers achieved state-of-the-art results using a simpler approach.
2 min read
Packing robot
Few-shot Learning

Packing Robots Get a Grip

Robots are moving into a job that traditionally required the human touch.What’s new: A commercial warehouse that ships electrical supplies deployed AI-driven robotic arms from Covariant, a high-profile Silicon Valley robotics firm.
1 min read

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