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How to Talk to ChatGPT: An Introduction to Speedy Engineering | Jobs Vox

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ChatGPT, GPT-3, DALLE, MidJourney, Steady Diffusion…

What do all these AI models have in common? Besides being very expensive to make and very complicated to understand, unless you see my articles ;), they are all models that regular people like us can use to produce amazing results or even Can make products through that signal.

The only incentive you now have to master these new bigger and more powerful generative models is the skill, whether it’s generating great stories, amazing images, or a great feature like text summaries or automated video editor tools.

The results of these models keep getting better over time, but it’s often hard to get what you’re looking for. While this too is only improving, the best way to take advantage of the potential of these larger models is to become a better early engineer.

But what is a speedy engineer? Also, what is this motivational thing I’ve been talking about for the last minute or so and how can we learn this skill and get better?! Well, that’s exactly what we’re going to do in this video…

Reference

►Learn Prompting: https://learnprompting.org/
►Our Twitter Accounts: https://twitter.com/Whats_AI https://twitter.com/SanderSchulhoff https://twitter.com/towards_AI https://twitter.com/learn_prompting
►Discord: https://www.louisbouchard.ai/learn-ai-together/

video transcript

0:00

chat gpt gpt3 cast mid-travel stable

0:04

What do all these AI models do?

0:06

is common in addition to being the way

0:09

Expensive and very complicated to make

0:11

until you see my videos to understand

0:13

They’re all models that regular people love

0:16

we can use to generate amazing results

0:18

or even manufacture products

0:20

prompting prompting too much

0:22

the only skills you now need to be a

0:25

lord of these new big and mighty

0:27

generative model whether it’s

0:29

generate amazing stories or amazing pictures

0:32

Any cool feature like text summarizer

0:34

or automated video editor tools

0:37

These models are getting results only

0:39

better with time but it’s often difficult

0:41

get exactly what you’re looking for

0:43

while it’s only improving

0:45

The best way to take advantage of these large models

0:47

has the potential to be a better signal

0:50

engineer but what is a quick engineer

0:52

Also what’s this exciting thing I

0:55

talking about the past

0:57

minutes and how we can learn this skill

0:59

and get well that’s it

1:02

we’re going to this video

1:04

Prompting is how humans can talk to AIS

1:07

It’s a way of telling the AI ​​what you want

1:10

and how do you usually do it

1:12

for example the word you want

1:14

generate an image but nothing to do

1:16

show it as an example of what you would

1:19

you would do the same thing with a

1:21

Try to describe the artist you will be hiring

1:23

what you want with the best words

1:25

possible and some sketches if you can

1:27

draw it’s the same thing with today

1:29

most powerful ais

1:31

as we saw in our previous video

1:33

Word embedding AIS can understand words

1:36

Although they understand them differently

1:39

we do that where it’s quick

1:41

Engineering comes into play prompt

1:43

engineering is to find

1:45

signal that gets the best results from

1:48

AI will do a quick engineer translation

1:50

AI can decode your ID

1:53

understand that this is the translator between

1:55

from human language to AI language you can

1:58

print engineering look alike

2:00

expert googler hires a lot of people

2:03

just because they know how to use

2:05

google well and get their answers

2:07

question specifically programmers

2:09

than your father who can struggle

2:12

get what he wants because you

2:14

Know what is Google’s search box

2:16

are expecting and which keywords are good or

2:19

not when your father is not

2:21

typing as if asking a question

2:24

another man who machine

2:26

almost can’t understand

2:28

Let’s dive into some examples of how

2:31

Learning motivational skills can help you

2:33

We’ll dive right out into your AI journey

2:35

in a very good encouraging course my

2:37

friend sander and i are working on it

2:39

Help you improve this communication

2:41

skills and become a real speedy engineer

2:45

text prompting is a way of talking

2:47

language model is the best way

2:49

figure it out by looking at one

2:51

simple example let’s say gpt3 to solve

2:54

math problem we can see that it will get

2:56

wrong answer though we can go ahead

2:59

Make it AI friendly like Simple

3:01

apart let’s step by step and find

3:05

it will succeed image enthusiasm is enough

3:08

We can use words to describe similar

3:10

Convert image from text to image model and view

3:13

what it produces we see it as we do

3:16

Change different descriptors of images

3:18

that generates model changes

3:20

code behind prompt accordingly

3:22

engineering is to optimize that we

3:25

believe it is important to learn new

3:27

Will have the same skills as the larger language model

3:29

become more available and more powerful

3:32

It is clear that people will get paid

3:34

just to use them and master them and we want

3:37

to help you reach this end

3:40

With my friend Sender and Tour AI we

3:43

creating a course on planting called

3:44

called line prompting where you can

3:47

learn a lot about fine print

3:48

practices and calming techniques or even

3:51

Tips from specially oriented experts

3:54

to the model you’re dealing with

3:55

whether it’s chat GPT in the middle of the journey or

3:58

Check it out to know more

4:00

Gain more insight about printing

4:03

expert in the field it’s an open

4:05

source work in progress and we aim to

4:08

Continually improve and add to this course

4:10

cool new segments we’d love to have over time

4:13

If you want to contribute and share your

4:15

knowledge as well as with more people

4:17

Learn AI through this platform

4:20

Community and discord together to learn

4:22

Chat more about this new course

4:25

All our links are in the description

4:27

thanks for watching the video below

4:29

and sander and follow me towards the eye

4:32

on twitter to stay updated

4:34

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