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The rise of LLMs
or: How I Learned to Stop Worrying and
Love the GPT
(ChatGPT did not write this presentation. Or did it?)
Feb 2023 – Laurent Lathieyre
*draft 0.2
1M users
5-day after
launch
viral growth
fastest reach to
1M users
the
ubiquitous
natural language
prompt
> text
💬 voice
will be part of
any/all
human-machine
interface
after
pc
internet
mobile
cloud
the new wave is
here
> ai <
…
…
and probably in
its most most
disruptive form
factor:
AI as a platform
coming in the
near future:
multi-modal
models (text,
image, video,
etc.)
continuous
learning (i.e.
not stuck in
time)
coming in a not
so distant
future:
Artificial
General
Intelligence
(AGI)
There will be
only a few LLMs
providers
aka “resistance
is futile ; don’t
try to train your
own LLM”
OpenAI ; Google ; Microsoft ; Facebook ; Amazon ; IBM ; Alibaba ; Tencent ; Baidu ;
Intel ; Nvidia
there is room in
the value chain
for
category/vertical
model fine tuners
on top of LLMs
importance of 1st
and 2nd party
data
Access to data will be key to success in the field of AI, and businesses will need to
consider data privacy and security as well as how language models can be used to
improve existing products and services, create new products and services, automate
tasks, and provide personalized experiences for customers.
legal ops
applications
-co-drafting
-generation
-documents
semantic search
-translation
-general access
to law knowledge
and jurisprudence
the way forward:
embrace the unknown,
harvest chaos to create
opportunities and drive
innovation
(to be continued)
Dall-e: draw a team of pioneers, some are holding a spear, they jump into a portal to
another dimension, digital art