Timeline of AI and language models

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Time between releases of OpenAI’s GPT models

Model Months since last release
GPT-4
Dec/2022?
11m?
11 months?
GPT-3 2022 text-davinci-002
Jan/2022
20m
20 months
GPT-3
May/2020
15m
15 months
GPT-2
Feb/2019
8m
8 months
GPT-1
Jun/2018
Baseline

Full AI timeline

Showing language and multimodal models only (less focus on text-to-image generation models etc). Showing Western models mostly (less focus on China, South Korea). Showing selected major milestones in AI development. Yes, the timeline is ordered by year descending, then month ascending, for my own amusement.

Next…

TBA

GPT-4 (model)

OpenAI

TBA

TBA

Inflection (model)

Inflection AI

TBA

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2022

January

GPT-3 2022 – text-davinci-002 (model)

OpenAI

This is a new model with data ending Jun/2021, context window of 4,000 tokens
Read the OpenAI blog

January

CM3 13B (model)

Meta AI

February

GPT-NeoX-20B (model)

EleutherAI

March

Chinchilla 70B (model)

DeepMind

March

BLOOM – tr11-176B-ml (model)

BigScience

April

PaLM 540B (model)

Google Inc

April

PaLM-Coder 540B (model)

Google Inc

April

CodeGen 16B (model)

Salesforce

April

VLM-4 (model)

LightOn

April

Luminous 200B (model)

Aleph Alpha

April

mGPT 13B (model)

Sber

April

Noor 10B (model)

TII

April

InCoder 6.7B (model)

Meta AI

April

Flamingo (Chinchilla 70B + 10B visual model)

DeepMind

May

OPT-175B (model)

Meta AI

May

LaMDA 2 (chatbot model)

Google AI

May

Gato (Cat) 1.18B (model)

DeepMind

May

UL20B (model)

Google Research

May

Diffusion-LM 300M (model)

Stanford

June

Perceiver AR (model)

DeepMind

June

Unified-IO 2.8B (model)

Allen AI

June

YaLM 100B (model)

Yandex

June

GODEL-XL 2.7B (chatbot model)

Microsoft/Columbia

June

Minerva 540B (model)

Google Research

July

No Language Left Behind 54.5B/MoE (model)

Meta AI

July

PanGu-Coder 2.6B (model)

Huawei

July

monorepo-Transformer 0.5B (model)

Google Brain

July

6.9B FIM (model)

OpenAI

August

AlexaTM 20B (model)

Amazon Alexa AI

August

GLM-130B (model)

Tsinghua & Zhipu

August

BlenderBot 3 (chatbot model)

Meta AI

August

Atlas 11B (model)

Meta AI

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2021

January

The Pile v1 (dataset)

EleutherAI

March

Wudao 1.0 (model)

BAAI

June

GPT-J-6B (model)

EleutherAI

June

LaMDA 137B (chatbot model)

Google

June

Wudao 2.0 (model)

BAAI

June

M6 1T – MultiModality-to-MultiModality Multitask Mega-transformer (model)

Alibaba Dharma Academy

July

BlenderBot 2.0 9.4B (chatbot model)

Facebook

July

Codex 12B (model)

OpenAI

August

Jurassic-1 178B (model)

AI21

September

PLATO-XL 11B (chatbot model)

Baidu

September

Macaw 11B (Q&A model)

AI2 (Allen AI)

October

Megatron-Turing NLG 530B (model)

NVIDIA + Microsoft

October

Yuan 1.0 245B (model)

Inspur AI (China)

November

M6 10T – MultiModality-to-MultiModality Multitask Mega-transformer (model)

Alibaba Dharma Academy

November

Cedille 6B (model, French, based on GPT-J 6B)

Coteries

November

BERT 480 & 200 (model)

Google

December

52B (model)

Anthropic

December

GLaM 1.1T (model)

Google inc

December

Gopher 280B (model)

Google AI

December

Fairseq-13B (model)

Meta AI

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2020

January

Meena (chatbot model)

Google

April

BlenderBot 1.0 (chatbot model)

Facebook

May

GPT-3 175B (model)

OpenAI

September

GPT-3 writes a newspaper column

The Guardian/OpenAI

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2019

February

GPT-2 1.5B (model)

OpenAI

October

BERT used for search

Google

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2018

June

GPT-1 (model)

OpenAI

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2017

August

Transformer (architecture)

Google

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2011

February

Watson (system)

IBM

Appeared on Jeopardy! against champions Brad Rutter and Ken Jennings, winning the first place prize of $1m

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1966

ELIZA (chatbot)

MIT

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1950

Turing test (paper)

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1947

Turing lecture

First public lecture (London, 1947) to mention computer intelligence. Turing said: ‘What we want is a machine that can learn from experience… the possibility of letting the machine alter its own instructions provides the mechanism for this.’ A few months later, he introduced many of the central concepts of AI in an unpublished paper: Intelligent Machinery. Britannica

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Summary of current models


Summary of current models: View the full data (Google sheets)
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Dr Alan D. Thompson is an AI expert and consultant. With Leta (an AI powered by GPT-3), Alan co-presented a seminar called ‘The new irrelevance of intelligence’ at the World Gifted Conference in August 2021. His applied AI research and visualisations are featured across major international media, including citations in the University of Oxford’s debate on AI Ethics in December 2021. He has held positions as chairman for Mensa International, consultant to GE and Warner Bros, and memberships with the IEEE and IET. He is open to consulting and advisory on major AI projects with intergovernmental organisations and enterprise.

This page last updated: 25/Jun/2022. https://lifearchitect.ai/timeline/