Episode Transcript
Transcripts are displayed as originally observed. Some content, including advertisements may have changed.
Use Ctrl + F to search
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. Hello,
0:15
everyone. I am back.
0:18
So I appreciate the time
0:21
that you were all able to give me to take off.
0:24
It was very helpful. I'm
0:26
on two new medications and they're
0:28
definitely helping. Still working
0:30
on dosage and a lot of other stuff,
0:32
but it has made a huge difference. So
0:34
I'm going to be publishing again.
0:37
And this is the first one. So
0:39
wanted to share. I just got back from
0:41
AI four, which is an AI
0:44
for enterprise conference and
0:46
had a good time there, got to see a bunch
0:48
of different people and see a lot of different
0:51
talks. In fact saw a ton
0:53
of different stuff. Lots of talks from
0:55
people selling things to enterprise.
0:57
A lot of non-technical talks as well, and
0:59
a few technical ones. Unfortunately,
1:02
there were Quite a few talks
1:04
and products that were really
1:07
a solution in search of a problem. You've
1:10
probably seen that before. And frankly, you've probably
1:12
seen this. Comic illustrating
1:14
that before. And by the way people who
1:16
are just listening. This is particularly
1:19
an episode that you might want to go to YouTube
1:21
to watch because I'm showing some
1:23
different clips from the conference. But
1:26
you'll still be able to follow along on audio. If
1:28
you don't know, the YouTube channel is youtube.com/@PromptEngineeringPodcast.
1:36
You can also go to PromptEngineeringPodcast.com
1:39
to get the link to YouTube and to
1:41
watch this episode. Did
1:44
want to share. I saw a few particularly
1:47
really good talks and a
1:49
really interesting discussions. So
1:52
the first one was A company called
1:54
vital. Which is founded
1:56
by the former founder of mint.com.
2:00
They created a tool to translate.
2:03
Doctor's notes and all the jargon and
2:05
medical terminology into plain English.
2:08
Now I interviewed them. So
2:11
I'll save more discussion on that for later.
2:13
But you're seeing at the moment. An
2:16
example of me running some information through
2:18
it and you can see it. Turns it
2:20
into some actual normal English
2:22
words. I also saw two talks on
2:24
weather. Those actually
2:27
had no chatbot stuff in the middle. They
2:29
were like run of the mill machine
2:31
learning and they were really cool. Two
2:34
interesting uses that I had not
2:36
heard of. One of them
2:38
was able to predict wildfires.
2:42
And also paths
2:44
of hurricanes. And then there was another
2:46
system Google's weather prediction
2:48
system, which also was able
2:50
to do. Hurricane prediction Next,
2:53
there was a talk on bias.
2:55
And you know how to deal with biases.
2:58
In large language models. So
3:01
examples of that would be things like. Biasing
3:05
based on gender or race
3:07
or religion or political ideology
3:10
or profession and all these different things.
3:13
And then They also,
3:15
the speaker also talked about
3:17
some of the ways that you can actually remove
3:20
bias. Particularly that most
3:23
ways of doing it are just, humans looking at
3:25
it and going, hang on. That's biased. But
3:28
people are starting to play with. Actually
3:31
asking a model and an
3:33
LLM two. Say
3:36
is this biased, but there's some interesting
3:39
technical challenges with that. And
3:41
then there are examples of anthropic
3:43
and other companies who are looking at.
3:45
Creating what's called the constitutional AI. And
3:48
I'm actually looking for a speaker to come on and talk
3:50
more about that. So if that's something you know about, please
3:52
let me know. And then my favorite talk
3:54
was one given by the founder
3:57
of the Khan academy. They've
3:59
built a chat bot that doesn't simply give
4:01
you the answer the way, you can ask chat GPT
4:03
to solve problems or do your homework.
4:06
Instead, it helps you to
4:08
make better decisions
4:10
and basically learn. The
4:12
example that's being shown here is
4:15
actually giving you feedback on how to
4:17
write a better essay. But
4:19
they also showed some examples
4:21
of, for example, with a math problem,
4:24
say. Y
4:26
equals two. Times
4:29
parentheses X plus seven close parentheses.
4:33
The example shown was then incorrectly
4:35
applying the times two to the
4:37
pieces in the parentheses. And
4:40
it then talked through how
4:42
to actually do it right. And showed you the next
4:44
step and said, could you explain how
4:46
you got this answer? Because that's not what
4:48
I got. Which I thought was an interesting
4:50
nuance. It doesn't say that's wrong. It
4:52
just says "that's not what I got, could you tell me how you
4:54
got there?" One
4:56
of the things that was really interesting about the chat bot was
4:59
you could turn on a
5:01
different mode. That was the teacher mode. And
5:04
then it would, for example, show you answers.
5:06
You could say, what's the answer to this question. It would say the
5:08
answers, selection B. And
5:10
then it would say. Do you want to brainstorm ways
5:13
of getting your students excited about this topic
5:15
or of discussing this
5:18
question with your students? Things like that.
5:21
So had some pretty cool uses for
5:23
trying to help teachers. So
5:27
I am back. This is just a very
5:29
quick, fast episode because I wanted
5:31
to just put something out there and say, hi,
5:33
I am still around. And
5:35
look forward to, I've got
5:37
interviews coming up with like I said,
5:40
vital, which is the doctor.
5:43
Jargon to patient translator.
5:45
Plus they do a bunch of other stuff around.
5:48
Machine learning around medical records and things like
5:50
that. Also have a
5:52
discussion with me and a bunch of other
5:54
podcasters at AI4
5:56
that we'll be publishing sometime soon. And
5:59
then also going to be talking
6:01
to a bunch of other people that I met at AIA
6:04
four and other places. One last
6:06
thing. If you are familiar
6:08
with tree of thought.
6:11
I would love to chat with you. There's a contact form
6:14
on the website, PromptEngineeringPodcast.com
6:18
or email me, reply in the YouTube
6:20
comments, I would love to bring someone on
6:22
to discuss those. Oh, and
6:24
also if anyone is working
6:26
on constitutional AI or is
6:28
familiar with it, I would love to bring someone on
6:30
to talk about that because I am very
6:32
curious about it. Thanks. Hope
6:35
you're having a great week and I will talk
6:37
to you soon. Bye. Thanks
6:40
for coming to the prompt engineering podcasts podcast
6:43
dedicated helping you be a better
6:46
prompt engineer Episodes are released
6:48
every Wednesday I also
6:50
host masterminds where you can collaborate
6:52
with me and 50 other people live
6:55
on zoom to improve your prompts
6:58
Join us at promptengineeringmastermind.
7:00
com for the schedule of the upcoming masterminds.
7:03
Finally, please remember to like
7:06
and subscribe. See you next week.
Podchaser is the ultimate destination for podcast data, search, and discovery. Learn More