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Nov. 30, 2022: Open AIs |
ChatGPT, powered by |
GPT-3.5 (an improved |
version of its 2020 GPT-3 |
release), becomes the |
rst widely used text- |
generating product, |
gaining a record 100 |
million users in 2 months. |
2 Dec. 12: Cohere releases |
the rst LLM that |
supports more than 100 |
languages, making it |
available on its enterprise |
AI platform. |
3 Dec. 26: LLMs such as |
Googles Med-PaLM are |
trained for specic use |
cases and domains, such |
as clinical knowledge. |
4 Feb. 2, 2023: Amazons |
multimodal-CoT model |
incorporates |
chain-of-thought |
prompting, in which the |
model explains its |
reasoning, and |
outperforms GPT-3.5 on |
several benchmarks. |
5 Feb. 24: As a smaller |
model, Metas LLaMA is |
more efcient to use than |
some other models but |
continues to perform well |
on some tasks compared |
with other models. |
6 Feb 27: Microsoft |
introduces Kosmos-1, a |
multimodal LLM that can |
respond to image and |
audio prompts in addition |
to natural language. |
7 March 7: Salesforce |
announces Einstein GPT |
(leveraging OpenAIs |
models), the rst |
generative AI technology |
for customers |
relationship management. |
8 March 13: OpenAI |
releases GPT-4, which |
ofers signicant |
improvements in |
accuracy and |
hallucinations mitigation, |
claiming 40% |
improvement vs GPT-3.5. |
9 March 14: Anthropic |
introduces Claude, an AI |
assistant trained using a |
method called |
constitutional AI, which |
aims to reduce the |
likelihood of harmful |
outputs. |
10 March 6: Microsoft |
announces the |
integration of GPT-4 into |
its Ofce 365 suite, |
potentially enabling |
broad productivity |
increases. |
11 March 21: Google |
releases Bard, and AI |
chatbot based on the |
LaMDA family of LLMs. |
12 March 30: Bloomberg |
announces a LLM trained |
on nancial data to |
support natural-language |
tasks in the nancial |
industry. |
13 April 13: Amazon |
announces Bedrock, the |
rst fully managed |
service that makes |
models available via API |
from multiple providers in |
addition to Amazons own |
Titan LLMs. |
Source: Compiled by MIT Technology Review Insights, based on data from Whats the future of generative AI? An early |
view in 15 charts, McKinsey, 2023 |
9 |
MIT Technology Review Insights |
The road ahead |
Generative AI holds out substantial opportunities |
for financial services companies. Boston Consulting |
Group, for example, projects that the sector is one |
of three with the highest potential for growth arising |