# Título: GPT-4: A Napkin Developer’s Guide
## Introdução
– Definindo o GPT-4
– O papel da inteligência artificial no desenvolvimento de produtos
– Como o GPT-4 pode ser usado na indústria de software Napkin Developer
## O que são leads orgânicos e como eles diferem dos leads pagos?
– Definição de leads orgânicos e leads pagos
– Benefícios dos leads orgânicos
– Como diferenciar os leads orgânicos dos leads pagos
## Como gerar leads orgânicos para o seu negócio
– Otimizando seu site para SEO
– Criando um conteúdo engajador
– Utilizando as redes sociais
– Construindo uma lista de e-mails
## Dicas práticas para otimizar seu site para os mecanismos de busca
– Escolhendo as palavras-chave corretas
– Criando títulos atraentes
– Incluindo links internos e externos
## Criando conteúdo engajador com o GPT-4
– Como o GPT-4 pode ser usado para escrever conteúdo de qualidade
– Gerando ideias únicas com o GPT-4
– Aprimorando seu conteúdo com a ajuda da inteligência artificial
## Usando as redes sociais para gerar leads orgânicos
– Escolhendo as plataformas certas
– Estratégias para aumentar seu alcance nas redes sociais
– Analisando os resultados e ajustando sua estratégia
## Construindo uma lista de e-mails com o GPT-4
– Por que uma lista de e-mails é importante para o seu negócio
– Como usar o GPT-4 para escrever e-mails atraentes
– Processos para automatizar a criação de e-mails personalizados
## Conclusão
– Recapitulando as principais informações sobre leads orgânicos
– Como o GPT-4 pode ajudá-lo a gerar leads orgânicos de forma mais eficiente
– Por que é importante implementar essas estratégias no seu negócio
## Perguntas frequentes
– Qual a diferença entre leads orgânicos e leads pagos?
– Por que é importante gerar leads orgânicos?
– Como o GPT-4 pode ser usado para otimizar o meu site para SEO?
– Quais as melhores redes sociais para gerar leads orgânicos?
– Como criar e-mails personalizados de forma automatizada com o GPT-4?
br>GPT-4 is pretty impressive, especially with the new image parsing capabilities. That gap between AI and your job is closing, make sure to level up.
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https://www.youtubepp.com/watch?v=tQLwBHE5r08 ,
Gpd4 was just demonstrated this was a live stream by Greg Brockman who is the president co-founder of open Ai and it’s a pretty short demonstration I’ll link to it down below but there’s one little piece that I wanted to share with you all developers and if you thought maybe
My job is safe after all well you better level up because well check this out so I have here a nice hand-drawn mock-up of a joke website a hand-drawn mock-up of a joke website I’m just going to take out my phone literally take a photo so he’s taken a
Photo off the mock-up of the website and yes gpt4 is now capable of analyzing images so it’s not only text based now it can ingest images tell you what the image is all about and he’s asking it to write a brief HTML JavaScript to turn this mock-up into a
Colorful website where the jokes are actually replaced by two real jokes he just asked it to create a fully functional website from a napkin drawing can it really do this no we wait didn’t have to wait long because yep there it is I think that’s amazing in my mind is that
What’s going on here is we’re talking to a neural network and this neural network was trained to predict what comes next right it played this this game of sort of being shown a partial document and then predicted what comes next across an unimaginably large amount of content and from there it
Learns all of these skills that you can apply and all these very flexible ways and so we can actually take now this output so literally we just said to output the HTML from that picture so he just pasting it right inside of a code pen along with JavaScript and everything
Else right into the HTML field you can do that by the way and here we go and there it is actual working JavaScript filled in the jokes for comparison this was the original of our mock-up and so there you go going from hand-drawn beautiful art
If I do say so myself to working website and this is all just potential right wow all right yeah it’s potential of course like he said it’s a very simple website for now but uh you can extrapolate this this is only like a a development of a
Couple months since we had Chad GPT come out of course this is years and in the works but this stuff is developing at an insane clip so if you’ve just learned JavaScript and HTML you got to take the next step now it’s up to you to keep
Learning to keep going you gotta you it’s a Race Against Time folks you got to keep going you gotta keep learning don’t stop at just coding all right I made a video about this I’ll link to it right over here what’s the difference between just the encoder and being a
Software architect software engineer watch this video next to find out Foreign
,00:00 gpd4 was just demonstrated this was a
00:03 live stream by Greg Brockman who is the
00:05 president co-founder of open Ai and it’s
00:08 a pretty short demonstration I’ll link
00:10 to it down below but there’s one little
00:12 piece that I wanted to share with you
00:14 all developers and if you thought maybe
00:17 my job is safe after all
00:19 well you better level up because well
00:22 check this out so I have here a nice
00:25 hand-drawn mock-up of a joke website a
00:28 hand-drawn mock-up of a joke website I’m
00:31 just going to take out my phone
00:33 literally take a photo so he’s taken a
00:36 photo off the mock-up of the website and
00:39 yes gpt4 is now capable of analyzing
00:42 images so it’s not only text based now
00:44 it can ingest images tell you what the
00:46 image is all about and
00:50 he’s asking it to write a brief HTML
00:53 JavaScript to turn this mock-up into a
00:57 colorful website where the jokes are
00:59 actually replaced by two real jokes he
01:02 just asked it to create a fully
01:04 functional website
01:06 from a napkin drawing can it really do
01:08 this no we wait
01:11 didn’t have to wait long because yep
01:14 there it is I think that’s amazing in my
01:16 mind is that
01:18 what’s going on here is we’re talking to
01:19 a neural network
01:21 and this neural network was trained to
01:23 predict what comes next right it played
01:25 this this game of sort of being shown a
01:27 partial document and then predicted what
01:29 comes next across an unimaginably large
01:31 amount of content and from there it
01:33 learns all of these skills that you can
01:35 apply and all these very flexible ways
01:38 and so we can actually take now this
01:40 output so literally we just said to
01:44 output the HTML from that picture so he
01:47 just pasting it right inside of a code
01:49 pen along with JavaScript and everything
01:51 else right into the HTML field you can
01:53 do that by the way
01:55 and here we go and there it is
01:57 actual working JavaScript
02:00 filled in the jokes
02:02 for comparison
02:04 this was the original
02:09 of our mock-up
02:11 and so there you go going from
02:13 hand-drawn beautiful art
02:16 if I do say so myself to working website
02:20 and this is all just potential right wow
02:22 all right yeah it’s potential of course
02:25 like he said it’s a very simple website
02:27 for now but uh you can extrapolate this
02:31 this is only like a a development of a
02:33 couple months since we had Chad GPT come
02:35 out of course this is years and in the
02:38 works but this stuff is developing at an
02:41 insane clip so if you’ve just learned
02:43 JavaScript and HTML you got to take the
02:46 next step now it’s up to you to keep
02:48 learning to keep going you gotta you
02:51 it’s a Race Against Time folks you got
02:54 to keep going you gotta keep learning
02:55 don’t stop at just coding all right I
02:58 made a video about this I’ll link to it
02:59 right over here what’s the difference
03:01 between just the encoder and being a
03:03 software architect software engineer
03:05 watch this video next to find out
03:08 [Music]
03:12 foreign
03:14 [Music]
, , , #GPT4 #Napkin #Developer , [agora]