NLP Lineage

15 October 2021 · Alignment

T0

Multitask Prompted Training Enables Zero-Shot Task Generalization

V. Sanh, A. Webson, C. Raffel, et al. (~40 authors)

Date
15 October 2021
What the date marks
arXiv submission
Kind
Model
Organisation
Hugging Face / BigScience
Access
Apache 2.0
Other dates
ICLR 2022
Threads
In the guided tour
Chapter 6. Teaching models what people want
Learning phases
2. How LLMs are trained

Notable: no later milestone in the data is documented as descending from it. How levels are decided

Full summary in progress. Until then, this page shows the milestone's record from the research data.

What it changed

Before it

Instruction tuning was being explored inside large industrial labs.

The problem

Nobody outside those labs had the prompts, the data or the models to study it.

What it introduced

An open collection of prompt templates across tasks, plus openly released instruction-tuned models.

Why it matters

It made instruction tuning reproducible in the open, months before ChatGPT made it famous.

What modern models inherit

Open instruction data as shared infrastructure.

What came next

The prompt collections fed the Flan collection and later open instruction datasets.

Before and after

The milestones it descends from, and the milestones that descend from it. Work developed alongside it is not counted. Weak links are left out unless you include them.

Before: where it came from

T0 has 26 documented ancestors across 4 chapters, reaching back to Recurrent networks in 1990. Showing its direct parents and the 9 turning points among them.

T0 has 26 documented ancestors across 4 chapters, reaching back to Recurrent networks in 1990. Showing all of them.

T0 has 27 recorded ancestors, including indirect ones, across 4 chapters, reaching back to Recurrent networks in 1990. Showing its direct parents and the 9 turning points among them.

T0 has 27 recorded ancestors, including indirect ones, across 4 chapters, reaching back to Recurrent networks in 1990. Showing all of them.

  1. 2021T0This milestone.
  2. 2019T5 Turning pointT0 built directly on thisChapter 4. Pretrain once, use everywhere
  3. 2019C4 Turning pointT5 was influenced by thisChapter 4. Pretrain once, use everywhere
  4. 2019GPT-2 Turning pointT5 was influenced by thisChapter 4. Pretrain once, use everywhere
  5. 2019WebTextGPT-2 was influenced by thisChapter 4. Pretrain once, use everywhere
  6. 2018BERT Turning pointT5 was influenced by thisChapter 4. Pretrain once, use everywhere
  7. 2018SentencePieceT5 built directly on thisChapter 4. Pretrain once, use everywhere
  8. 2018GPT-1BERT was influenced by this
    GPT-2 built directly on this
    Chapter 4. Pretrain once, use everywhere
  9. 2018ELMoBERT was influenced by thisChapter 4. Pretrain once, use everywhere
  10. 2018ULMFiTBERT was influenced by thisChapter 4. Pretrain once, use everywhere
  11. 2017CoVeELMo was influenced by thisChapter 3. Attention, then only attention
  12. 2017Transformer Turning pointT5 built directly on thisChapter 3. Attention, then only attention
  13. 2016Layer normTransformer built directly on this
    GPT-2 built directly on this
    Chapter 3. Attention, then only attention
  14. 2015Residual connectionsTransformer was influenced by thisChapter 3. Attention, then only attention
  15. 2015LM pretraining Turning pointBERT was influenced by thisChapter 2. Words become vectors
  16. 2015BPE tokenizationGPT-2 built directly on thisChapter 2. Words become vectors
  17. 2015Luong attentionTransformer was influenced by thisChapter 3. Attention, then only attention
  18. 2014AdamTransformer was influenced by thisChapter 2. Words become vectors
  19. 2014GloVeELMo built directly on thisChapter 2. Words become vectors
  20. 2014Seq2seq Turning pointTransformer built directly on thisChapter 2. Words become vectors
  21. 2014Attention Turning pointTransformer built directly on thisChapter 3. Attention, then only attention
  22. 2014GRU / encoder-decoderAttention built directly on thisChapter 2. Words become vectors
  23. 2013word2vecELMo was influenced by thisChapter 2. Words become vectors
  24. 2011NLP from scratchELMo was influenced by thisChapter 1. Language as probability
  25. 2003Neural LMNLP from scratch was influenced by this
    word2vec was influenced by this
    Chapter 1. Language as probability
  26. 1997LSTM Turning pointSeq2seq built directly on this
    ELMo built directly on this
    Chapter 1. Language as probability
  27. 1990Recurrent networksLSTM was influenced by thisChapter 1. Language as probability
  1. 2021T0This milestone.
  2. 2019T5 Turning pointT0 built directly on thisChapter 4. Pretrain once, use everywhere
  3. 2019C4 Turning pointT5 was influenced by thisChapter 4. Pretrain once, use everywhere
  4. 2019GPT-2 Turning pointT5 was influenced by thisChapter 4. Pretrain once, use everywhere
  5. 2019WebTextGPT-2 was influenced by this
    C4 was influenced by this (indirect influence)
    Chapter 4. Pretrain once, use everywhere
  6. 2018BERT Turning pointT5 was influenced by thisChapter 4. Pretrain once, use everywhere
  7. 2018SentencePieceT5 built directly on thisChapter 4. Pretrain once, use everywhere
  8. 2018GPT-1BERT was influenced by this
    GPT-2 built directly on this
    Chapter 4. Pretrain once, use everywhere
  9. 2018ELMoBERT was influenced by thisChapter 4. Pretrain once, use everywhere
  10. 2018ULMFiTBERT was influenced by thisChapter 4. Pretrain once, use everywhere
  11. 2017CoVeELMo was influenced by thisChapter 3. Attention, then only attention
  12. 2017Transformer Turning pointT5 built directly on thisChapter 3. Attention, then only attention
  13. 2017ConvS2STransformer was influenced by this (indirect influence)Chapter 3. Attention, then only attention
  14. 2016Layer normTransformer built directly on this
    GPT-2 built directly on this
    Chapter 3. Attention, then only attention
  15. 2015Residual connectionsTransformer was influenced by thisChapter 3. Attention, then only attention
  16. 2015LM pretraining Turning pointBERT was influenced by thisChapter 2. Words become vectors
  17. 2015BPE tokenizationGPT-2 built directly on thisChapter 2. Words become vectors
  18. 2015Luong attentionTransformer was influenced by thisChapter 3. Attention, then only attention
  19. 2014AdamTransformer was influenced by thisChapter 2. Words become vectors
  20. 2014GloVeELMo built directly on thisChapter 2. Words become vectors
  21. 2014Seq2seq Turning pointTransformer built directly on thisChapter 2. Words become vectors
  22. 2014Attention Turning pointTransformer built directly on thisChapter 3. Attention, then only attention
  23. 2014GRU / encoder-decoderAttention built directly on thisChapter 2. Words become vectors
  24. 2013word2vecELMo was influenced by thisChapter 2. Words become vectors
  25. 2011NLP from scratchELMo was influenced by thisChapter 1. Language as probability
  26. 2003Neural LMNLP from scratch was influenced by this
    word2vec was influenced by this
    Chapter 1. Language as probability
  27. 1997LSTM Turning pointSeq2seq built directly on this
    ELMo built directly on this
    Chapter 1. Language as probability
  28. 1990Recurrent networksLSTM was influenced by thisChapter 1. Language as probability

After: what it led to

No documented descendants are recorded for T0 without weak links.

No documented descendants are recorded for T0 without weak links.

No recorded descendants are recorded for T0.

No recorded descendants are recorded for T0.

Direct links and their sources

Where it came from

Built directly on

Developed alongside

What it led to

None recorded in the sources used.

Terms