Limits of Transformers on Compositionality
Skills:
Staying Current in AI53%
In this video, we dive into the paper: 'Faith and Fate: Limits of Transformers on Compositionality'. The authors question whether transformer-based models are truly capable of compositional reasoning or are merely performing analog pattern matching when solving complex problems. They suggest that transformers may not be capable of compositional reasoning, evidenced by common trivial mistakes.
Chapters:
00:00 - Introduction
00:26 - Questioning transformer-based models
00:43 - Lack of ability to perform compositional reasoning
01:00 - Three tasks to assess capabilities
01:33 - Hypotheses for the paper
02:17 - Formulating compositional tasks as computation graphs
03:00 - Three tasks explained
03:13 - Zero shot accuracy and complexity metrics
03:48 - Poor generalization and partial solutions
04:03 - Ratio of correct nodes and decreasing correct answers
04:13 - Mathematical argument for reducing correct answers
04:39 - Conclusion and final thoughts
🔗 Links:
- Paper: https://arxiv.org/abs/2305.18654
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Thanks for watching and see you next time! Cheers :) .
#transformers #artificialintelligence #chatgpt #gpt4 #compositionality #problem-solving
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Chapters (12)
Introduction
0:26
Questioning transformer-based models
0:43
Lack of ability to perform compositional reasoning
1:00
Three tasks to assess capabilities
1:33
Hypotheses for the paper
2:17
Formulating compositional tasks as computation graphs
3:00
Three tasks explained
3:13
Zero shot accuracy and complexity metrics
3:48
Poor generalization and partial solutions
4:03
Ratio of correct nodes and decreasing correct answers
4:13
Mathematical argument for reducing correct answers
4:39
Conclusion and final thoughts
🎓
Tutor Explanation
DeepCamp AI