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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale vs Training Language Models to Follow Instructions with Human Feedback

Side-by-side comparison of An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Paper) and Training Language Models to Follow Instructions with Human Feedback (Paper).

81.9
Composite Score
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Paper · Google Brain
81.8
Composite Score
Training Language Models to Follow Instructions with Human Feedback
Paper · OpenAI
Overall Winner
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale wins 3 of 6 categories · Training Language Models to Follow Instructions with Human Feedback wins 1 of 6 categories

Score Comparison

An Image is Worth 16x16 Words: Transformers for Image Recognition at ScalevsTraining Language Models to Follow Instructions with Human Feedback
Composite
81.9:81.8
Adoption
95:95
Quality
97:95
Freshness
72:60
Citations
98:99
Engagement
0:0

Details

FieldAn Image is Worth 16x16 Words: Transformers for Image Recognition at ScaleTraining Language Models to Follow Instructions with Human Feedback
TypePaperPaper
ProviderGoogle BrainOpenAI
Version1.01.0
Categorycomputer-visionai-safety
Pricingfreefree
LicenseOpen AccessOpen Access
DescriptionIntroduced the Vision Transformer (ViT), demonstrating that a pure transformer applied directly to sequences of image patches achieves state-of-the-art performance on image classification when pretrained on large datasets. The paper challenged the dominance of convolutional neural networks in computer vision.Presents InstructGPT, which uses Reinforcement Learning from Human Feedback (RLHF) to align GPT-3 with human intent. By fine-tuning on human demonstrations and training a reward model on human preference comparisons, InstructGPT produces outputs that human evaluators prefer to GPT-3 outputs despite having 100× fewer parameters.

Capabilities

Only An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

image-classificationfeature-extractiontransfer-learning

Shared

None

Only Training Language Models to Follow Instructions with Human Feedback

instruction-followingalignmentreward-modelinghuman-feedback

Tags

Only An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

vision-transformerimage-classificationattentionself-supervisedpretraining

Shared

None

Only Training Language Models to Follow Instructions with Human Feedback

rlhfalignmentinstruction-followinghuman-feedbackopenai

Use Cases

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

  • image classification
  • vision pretraining
  • feature extraction

Training Language Models to Follow Instructions with Human Feedback

  • ai alignment
  • safety training
  • instruction tuning
  • research
Share this comparison
https://aaas.blog/compare/an-image-is-worth-16x16-words-vit-vs-rlhf-training-language-models-follow-instructions

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