Episode Transcript
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0:00
Welcome to the prompt engineering podcast,
0:03
where we teach you the art of writing effective
0:05
prompts for AI systems like chat,
0:07
GPT, mid journey, Dolly,
0:10
and more. Here's your host, Greg
0:12
Schwartz.
0:15
Hello, I'm currently sick with a cold, so
0:17
I'll be "speaking" via AI. This time
0:19
I'm doing it via the Descript app. This is
0:21
a quick episode because I wanted to discuss
0:23
Open A I Developer Day, and their mindblowing
0:25
accomplishment which you may not have realized
0:27
yet! First, a few highlights of the
0:29
opening keynote:
0:30
GPTs are tailored versions of ChatGPT
0:34
for a specific purpose. You
0:36
can build a GPT, a customized
0:38
version of ChatGPT, for almost anything.
0:41
With instructions, expanded knowledge,
0:43
and actions. And then you can publish it for others to
0:45
use. You can program a GPT just
0:48
by talking to it. And Later this
0:50
month, we're going to launch the GPT
0:52
store. You can list a GPT there and
0:55
we'll be able to feature the best and the most popular
0:57
GPTs. Revenue sharing is important to us.
1:00
We're going to pay people who build the most useful
1:02
and the most used GPTs a portion
1:04
of our revenue You want these models to be
1:07
able to access better knowledge about the world, so do
1:09
we. So we're launching retrieval
1:11
in the platform. You can bring knowledge
1:13
from outside documents or databases into
1:15
whatever you're building.
1:17
A special announcement.
1:19
I've just released my course, master
1:21
ChatGPT in two hours,
1:24
AKA how to not lose your job
1:26
to AI. I go over the basic
1:28
uses and techniques for prompt engineering,
1:30
the intermediate slide shot, prompting
1:32
and chain of thought. And then some advanced
1:35
ones. Plus there's guided practice
1:37
sessions to help you see exactly
1:39
how to use them. And by the way,
1:41
I have a 60 day money back guarantee.
1:43
So if you don't like it, let me know, and I will
1:45
give you a full refund. Normally, this is
1:47
$145. But I've discounted
1:50
it to $29. And
1:52
for listeners of the podcast use
1:54
coupon podcast. And
1:56
you'll get $20 off. So for
1:58
only nine bucks. You can learn
2:00
how to use Chatsy PT. Take
2:03
a look at the testimonials. Go get
2:05
the course at: promptengineeringpodcast.com/course1
2:09
that's numeral one, by the way. And the link
2:11
is also in the description. All right back
2:14
to the episode.
2:16
And three more things from Developer Day...
2:18
with our new text to speech model, you'll
2:20
be able to generate incredibly natural
2:22
sounding audio from text in the API
2:25
with six preset voices to choose from. I'll
2:27
play an example. Did you know that Alexander
2:30
Graham Bell, the eminent inventor, was
2:32
enchanted by the world of sounds? So
2:35
we're introducing Copyright Shield. Copyright
2:37
Shield means that we will step in and defend our customers
2:41
and pay the costs incurred if you face
2:43
legal claims around copyright infringement. And
2:45
this applies both to ChatGPT Enterprise
2:48
and the API. the assistance
2:50
API includes persistent threads.
2:52
So they don't have to figure out how to deal with long conversation
2:54
history. Built in retrieval,
2:57
code interpreter, a working Python interpreter
3:00
in a sandbox environment, and
3:02
of course, the improved function calling that
3:04
we talked about earlier
3:05
These are momentous moves. And there's more:
3:07
pricing, longer context window and
3:09
J son mode. However, did you get the mindblowing
3:11
news? Open AI created a moat, by
3:13
dramatically increasing switching costs.
3:16
Here's an explanation via a voice from eleven
3:18
labs.
3:19
Wikipedia defines switching costs.
3:22
Customers might be less likely
3:24
to change providers if the move
3:26
will incur costs, delays, or
3:28
effort. Until now,
3:31
switching from OpenAI was one
3:33
line of code. But no one else
3:36
provides uploading files, threading,
3:38
nor the GPT store. Before
3:41
developers built that, now OpenAI
3:43
does it and locks you in.
3:45
If you're still unsure why this is so momentous,
3:48
here is Open AI's new text to speech to explain.
3:50
Open AI makes it easier for developers
3:52
to build by providing those features.
3:55
Threads is valuable because although many
3:57
developers will still need an external
3:59
database to store other data for
4:02
many uses, threads is enough.
4:04
File uploading is more valuable because
4:06
it replaces very expensive alternatives
4:08
like Pinecone and GPT trainer, albeit
4:11
only if you have 25 files or
4:13
less, you can be sure that limit
4:15
will increase. The biggest
4:17
value is GPT store. It not
4:19
only makes it easier for people to find
4:21
your app because it's in the store,
4:24
just like the Apple app store and Google play
4:26
store. It allows you to create
4:28
simple applications without doing any
4:30
other work. Many startups
4:33
have been trying to build that kind of experience,
4:35
but none have even moderately succeeded.
4:38
Open AI, however, likely will.
4:41
Altogether, they changed your choice
4:43
of an AI provider from an easy
4:45
to replace commodity to something
4:47
with potentially huge switching costs.
4:50
Even if OpenAI raises their prices,
4:53
having to rebuild your application to store
4:55
conversations, threading, or integrate
4:57
a vector store, file uploading would
5:00
be very time consuming. And
5:02
developers using GPTstore will mostly
5:04
be people who do not want to build and maintain
5:07
a full application. So their
5:09
switching costs would be astronomical. All
5:12
in all, Dev Day created quite a moat.
5:15
By the way, if you want more ideas about moats,
5:17
read article "The New New Moats" by Jerry
5:19
Chen, linked in the description. Thanks
5:22
for coming to the prompt engineering podcasts podcast
5:25
dedicated helping you be a better
5:27
prompt engineer I also host
5:29
masterminds where you can collaborate with
5:31
me and 50 other people live on
5:34
zoom to improve your prompts Join
5:37
us at promptengineeringmastermind.
5:39
com for the schedule of the upcoming masterminds.
5:42
Finally, please remember to like
5:44
and subscribe. If you're listening to the
5:47
audio podcast, rate us five stars.
5:49
That helps us teach more people. And
5:51
if you're listening to the podcast, you might
5:53
want to join us on YouTube so you can actually
5:56
see the prompts. You can do
5:58
that by going to youtube. com
6:00
slash at prompt engineering
6:03
podcast. See
6:05
you next week.
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