NLP Lineage

30 March 2023 · Agents

AutoGPT

AutoGPT

Significant-Gravitas (Toran Bruce Richards)

Date
30 March 2023
What the date marks
Product release
Kind
Infrastructure
Organisation
community
Access
MIT
Threads
In the guided tour
Chapter 13. Models that act
Learning phases
7. Agents

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

Read the primary source (github.com)

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

What it changed

Before it

Agent loops were research prototypes described in papers.

The problem

Nobody had packaged one so that an ordinary developer could run it against a goal.

What it introduced

An open loop that plans, calls tools, writes files and recurses until a goal is met, using GPT-4.

Why it matters

It made autonomous agents a mainstream idea, and its unreliability taught the field what was actually hard.

What modern models inherit

Public expectations about agents, both the enthusiasm and the scepticism.

What came next

The sober descendants are today's coding agents with tight scopes and verification.

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

AutoGPT has 36 documented ancestors across 7 chapters, reaching back to Recurrent networks in 1990. Showing its direct parents and the 16 turning points among them.

AutoGPT has 36 documented ancestors across 7 chapters, reaching back to Recurrent networks in 1990. Showing all of them.

AutoGPT has 41 recorded ancestors, including indirect ones, across 9 chapters, reaching back to Recurrent networks in 1990. Showing its direct parents and the 17 turning points among them.

AutoGPT has 41 recorded ancestors, including indirect ones, across 9 chapters, reaching back to Recurrent networks in 1990. Showing all of them.

  1. 2023AutoGPTThis milestone.
  2. 2023GPT-4 Turning pointAutoGPT was influenced by thisChapter 7. The assistant goes public
  3. 2022GPT-3.5 Turning pointGPT-4 succeeded thisChapter 7. The assistant goes public
  4. 2022InstructGPT Turning pointGPT-4 built directly on thisChapter 6. Teaching models what people want
  5. 2021FLANInstructGPT was influenced by thisChapter 6. Teaching models what people want
  6. 2020RLHF for summarisation Turning pointInstructGPT built directly on thisChapter 6. Teaching models what people want
  7. 2020GPT-3 Turning pointInstructGPT built directly on this
    GPT-3.5 built directly on this    Chapter 5. Scale becomes a science
  8. 2020Scaling laws Turning pointGPT-4 built directly on thisChapter 5. Scale becomes a science
  9. 2019T5 Turning pointFLAN was influenced by thisChapter 4. Pretrain once, use everywhere
  10. 2019C4 Turning pointT5 was influenced by thisChapter 4. Pretrain once, use everywhere
  11. 2019RLHF for LMsRLHF for summarisation built directly on thisChapter 6. Teaching models what people want
  12. 2019Sparse Transformer Turning pointGPT-3 built directly on thisChapter 4. Pretrain once, use everywhere
  13. 2019GPT-2 Turning pointScaling laws was influenced by thisChapter 4. Pretrain once, use everywhere
  14. 2019WebTextGPT-2 was influenced by thisChapter 4. Pretrain once, use everywhere
  15. 2018BERT Turning pointT5 was influenced by thisChapter 4. Pretrain once, use everywhere
  16. 2018SentencePieceT5 built directly on thisChapter 4. Pretrain once, use everywhere
  17. 2018GPT-1GPT-2 built directly on thisChapter 4. Pretrain once, use everywhere
  18. 2018ELMoBERT was influenced by thisChapter 4. Pretrain once, use everywhere
  19. 2018ULMFiTBERT was influenced by thisChapter 4. Pretrain once, use everywhere
  20. 2017CoVeELMo was influenced by thisChapter 3. Attention, then only attention
  21. 2017Transformer Turning pointScaling laws built directly on thisChapter 3. Attention, then only attention
  22. 2017RLHF originRLHF for summarisation built directly on thisChapter 6. Teaching models what people want
  23. 2016Layer normTransformer built directly on this
    GPT-2 built directly on this    Chapter 3. Attention, then only attention
  24. 2015Residual connectionsTransformer was influenced by thisChapter 3. Attention, then only attention
  25. 2015LM pretraining Turning pointGPT-1 was influenced by thisChapter 2. Words become vectors
  26. 2015BPE tokenizationGPT-2 built directly on thisChapter 2. Words become vectors
  27. 2015Luong attentionTransformer was influenced by thisChapter 3. Attention, then only attention
  28. 2014AdamTransformer was influenced by thisChapter 2. Words become vectors
  29. 2014GloVeELMo built directly on thisChapter 2. Words become vectors
  30. 2014Seq2seq Turning pointTransformer built directly on thisChapter 2. Words become vectors
  31. 2014Attention Turning pointTransformer built directly on thisChapter 3. Attention, then only attention
  32. 2014GRU / encoder-decoderAttention built directly on thisChapter 2. Words become vectors
  33. 2013word2vecELMo was influenced by thisChapter 2. Words become vectors
  34. 2011NLP from scratchELMo was influenced by thisChapter 1. Language as probability
  35. 2003Neural LMNLP from scratch was influenced by this
    word2vec was influenced by this    Chapter 1. Language as probability
  36. 1997LSTM Turning pointSeq2seq built directly on thisChapter 1. Language as probability
  37. 1990Recurrent networksLSTM was influenced by thisChapter 1. Language as probability
  1. 2023AutoGPTThis milestone.
  2. 2023GPT-4 Turning pointAutoGPT was influenced by thisChapter 7. The assistant goes public
  3. 2022GPT-3.5 Turning pointGPT-4 succeeded thisChapter 7. The assistant goes public
  4. 2022ReActAutoGPT was influenced by this (indirect influence)Chapter 13. Models that act
  5. 2022InstructGPT Turning pointGPT-4 built directly on thisChapter 6. Teaching models what people want
  6. 2022Chain of thought Turning pointReAct built directly on thisChapter 12. Thinking longer
  7. 2021WebGPTReAct was influenced by thisChapter 13. Models that act
  8. 2021FLANInstructGPT was influenced by thisChapter 6. Teaching models what people want
  9. 2020RLHF for summarisation Turning pointInstructGPT built directly on this
    WebGPT built directly on this    Chapter 6. Teaching models what people want
  10. 2020GPT-3 Turning pointChain of thought was influenced by this
    InstructGPT built directly on this
    GPT-3.5 built directly on this    Chapter 5. Scale becomes a science
  11. 2020Scaling laws Turning pointGPT-4 built directly on thisChapter 5. Scale becomes a science
  12. 2019T5 Turning pointFLAN was influenced by thisChapter 4. Pretrain once, use everywhere
  13. 2019C4 Turning pointT5 was influenced by thisChapter 4. Pretrain once, use everywhere
  14. 2019RLHF for LMsRLHF for summarisation built directly on thisChapter 6. Teaching models what people want
  15. 2019Sparse Transformer Turning pointGPT-3 built directly on thisChapter 4. Pretrain once, use everywhere
  16. 2019GPT-2 Turning pointScaling laws was influenced by thisChapter 4. Pretrain once, use everywhere
  17. 2019WebTextGPT-2 was influenced by thisChapter 4. Pretrain once, use everywhere
  18. 2019Transformer-XLSparse Transformer was influenced by this (indirect influence)Chapter 4. Pretrain once, use everywhere
  19. 2018BERT Turning pointT5 was influenced by thisChapter 4. Pretrain once, use everywhere
  20. 2018SentencePieceT5 built directly on thisChapter 4. Pretrain once, use everywhere
  21. 2018GPT-1GPT-2 built directly on thisChapter 4. Pretrain once, use everywhere
  22. 2018ELMoGPT-1 was influenced by this (indirect influence)Chapter 4. Pretrain once, use everywhere
  23. 2018ULMFiTGPT-1 was influenced by this (indirect influence)Chapter 4. Pretrain once, use everywhere
  24. 2017CoVeELMo was influenced by thisChapter 3. Attention, then only attention
  25. 2017Transformer Turning pointScaling laws built directly on thisChapter 3. Attention, then only attention
  26. 2017RLHF originRLHF for summarisation built directly on thisChapter 6. Teaching models what people want
  27. 2017ConvS2STransformer was influenced by this (indirect influence)Chapter 3. Attention, then only attention
  28. 2016Layer normTransformer built directly on this
    GPT-2 built directly on this    Chapter 3. Attention, then only attention
  29. 2015Residual connectionsTransformer was influenced by thisChapter 3. Attention, then only attention
  30. 2015LM pretraining Turning pointGPT-1 was influenced by thisChapter 2. Words become vectors
  31. 2015BPE tokenizationGPT-2 built directly on thisChapter 2. Words become vectors
  32. 2015Luong attentionTransformer was influenced by thisChapter 3. Attention, then only attention
  33. 2014AdamTransformer was influenced by thisChapter 2. Words become vectors
  34. 2014GloVeELMo built directly on thisChapter 2. Words become vectors
  35. 2014Seq2seq Turning pointTransformer built directly on thisChapter 2. Words become vectors
  36. 2014Attention Turning pointTransformer built directly on thisChapter 3. Attention, then only attention
  37. 2014GRU / encoder-decoderAttention built directly on thisChapter 2. Words become vectors
  38. 2013word2vecELMo was influenced by thisChapter 2. Words become vectors
  39. 2011NLP from scratchELMo was influenced by thisChapter 1. Language as probability
  40. 2003Neural LMNLP from scratch was influenced by this
    word2vec was influenced by this    Chapter 1. Language as probability
  41. 1997LSTM Turning pointSeq2seq built directly on thisChapter 1. Language as probability
  42. 1990Recurrent networksLSTM was influenced by thisChapter 1. Language as probability

After: what it led to

No documented descendants are recorded for AutoGPT without weak links.

No documented descendants are recorded for AutoGPT without weak links.

No recorded descendants are recorded for AutoGPT.

No recorded descendants are recorded for AutoGPT.

Direct links and their sources

Where it came from

Influenced by

What it led to

None recorded in the sources used.