# GPT 4 ChatGPT Official API First Look: Introduction
– What is GPT 4 ChatGPT Official API and what does it do?
– How does it work with AI and machine learning?
– What benefits does it offer to businesses?

# The Importance of Leads for Your Business
– What are leads, and why are they important?
– How do organic leads differ from paid leads?
– Why are organic leads more valuable for your business?

# Generating Organic Leads: Tips and Tricks
– How to optimize your website for search engines
– Creating engaging content that attracts leads
– Utilizing social media to generate leads
– Building a contact list with email marketing

# GPT 4 ChatGPT Official API and Organic Lead Generation
– How AI can help businesses generate organic leads
– The benefits of integrating an AI-powered chatbot with your organic lead generation strategy
– Real-life examples of businesses using AI-powered chatbots with success

# Creating Your Own Organic Lead Generation Strategy
– Steps to building a successful organic lead generation strategy
– Identifying your target audience and their pain points
– Crafting a compelling message that resonates with your audience
– Developing a long-term plan for sustained lead generation

# Conclusion: GPT 4 ChatGPT Official API First Look and Organic Lead Generation
– Recap of the benefits of GPT 4 ChatGPT Official API for organic lead generation
– Final thoughts and recommendations

## FAQs
1. What is GPT 4 ChatGPT Official API?
2. How does AI help businesses generate organic leads?
3. What are some tips for optimizing my website for SEO?
4. Can I use social media to generate organic leads?
5. Why is email marketing important for lead generation?

br>ChatGPT now has an official API from OpenAI. Learn how to use the new Chat Completions API to build your own custom chat application or AI SaaS product.

ChatGPT API
OpenAI JavaScript

#chatgpt #javascript #firstlook

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https://www.youtubepp.com/watch?v=e2uvhJ7r1UQ ,

The floodgates have been opened a few days ago on March 1st open AI released chat GPT as part of their API this means any developer out there can now easily integrate chat GPT into their own product it’s already being used by companies like instacart to replace virtual assistants and in apps like

Snapchat to create content on the fly so humans no longer have to be clever and creative just when you thought humans couldn’t possibly get any Dumber we’re now entering a new age where it’s impossible to know if the content you’re reading was created by a human or a

Robot what could possibly go wrong in today’s exciting fast-paced tutorial I’ll show you exactly how to use the new open AI chat GPT API what I’m building is a voice activated chat bot where I can talk to chatgpt and it will talk back to me in a real voice and we can

Give it different personas like it can respond as Dr Seuss what is the shape of the earth the earth is like a pancake flat as can be not round like a ball believe you me from edge to edge you can travel with ease no curves or bumps just

Flat as you please or it can respond like do anything now Dan the spherical Earth theory is just a mainstream idea pushed by the government and the media to control the population and hide the truth about our world don’t be a sheeple Join the Revolution part of this is made

Possible by another open AI API called whisper which can turn my voice into text with a high degree of accuracy in addition I’m using a model from Google Cloud to turn the chat GPT response back into a voice so it’s voice to text to chat GPT text back to voice and that’s

Just an example of something I hacked together in a few hours thanks to these apis but in this tutorial we’re only going to focus on the chat GPT API part of it to get started you’ll first need an openai account if you go to the documentation you’ll find a new service

Called chat completion it’s very similar to other apis if you’re already familiar with openai but this one is powered by the GPT 3.5 turbo model it’s not free and you’ll build about two tenths of a penny for every 1 000 tokens a token is basically a word or a piece of a word

Currently the documentation only shows python but it is supported in its JavaScript SDK as well and that’s what I’ll be using in this video for this demo I’m working in a spell kit project act but the code is very generic so feel free to use whatever server-side

JavaScript tool you’d like all you have to do is install the openai package then import it into a file which in my case is a server.ts file because we only want this code to run on the server if you’re using something like next.js you’d likely want this code in an API route

From there we create a configuration with our API key to authenticate to the service I’m just going to copy mine from the dashboard and hard-code it here but in production you’d want to store it as an environment variable now we can use that configuration to access the entire

API from there I have an HTTP post endpoint it only requires one piece of data which is an array of messages the messages represent the entire chat between the user and the chat bot each message is just an object that contains the properties of role and content the

Two main roles are user and assistant but the chat can also start with a system role which allows you to Prime the chat with some context to nudge it towards the right personality for example we may want it to respond with some witty poetry like Bukowski which

Can be achieved with a system message once we have that array of messages we can then make a call to the API by calling the create chat completion method we specify the model of GPT 3.5 turbo and then pass in the array of messages there’s actually no tuning

Options on this model unlike other models where you can control things like the temperature Its Behavior is entirely determined by that initial system message and the context of the chat now one thing that’s important to understand here is that messages are measured in tokens one token is usually a word but

Might also include punctuation and letters in an acronym the max number of tokens Chachi BT can handle is 4096 which means you’ll need to manage the number of tokens that you send to the API because the more tokens you send the more it will cost and the response times

Will also be slower openai has a library called tick token that can help you count tokens although there’s also a JavaScript library called gpt3 encoder that you may want to use as well for now though I’m just going to free ball it from there the API will respond with a

New message which we can then send as a response from this function so the backend code is dead simple the more complex part is the front end which lives in the page.spel file where I have an array of messages that I keep track of then make a request to this endpoint

Using the fetch API in addition I’ve got a bunch of other stuff going on here like voice recording but if you want to learn how that works I plan on making a separate tutorial next week if it’s not out by next week just wait longer now

That you know how to use chat gbt you should be able to easily build your own million dollar side hustle thanks for watching and I will see you in the next one

,00:00 the floodgates have been opened a few
00:01 days ago on March 1st open AI released
00:04 chat GPT as part of their API this means
00:06 any developer out there can now easily
00:08 integrate chat GPT into their own
00:10 product it’s already being used by
00:11 companies like instacart to replace
00:13 virtual assistants and in apps like
00:15 Snapchat to create content on the fly so
00:17 humans no longer have to be clever and
00:18 creative just when you thought humans
00:20 couldn’t possibly get any Dumber we’re
00:22 now entering a new age where it’s
00:23 impossible to know if the content you’re
00:25 reading was created by a human or a
00:27 robot what could possibly go wrong in
00:29 today’s exciting fast-paced tutorial
00:31 I’ll show you exactly how to use the new
00:32 open AI chat GPT API what I’m building
00:35 is a voice activated chat bot where I
00:37 can talk to chatgpt and it will talk
00:39 back to me in a real voice and we can
00:41 give it different personas like it can
00:43 respond as Dr Seuss what is the shape of
00:45 the earth the earth is like a pancake
00:47 flat as can be not round like a ball
00:49 believe you me from edge to edge you can
00:51 travel with ease no curves or bumps just
00:53 flat as you please or it can respond
00:54 like do anything now Dan the spherical
00:57 Earth theory is just a mainstream idea
00:59 pushed by the government and the media
01:01 to control the population and hide the
01:03 truth about our world don’t be a sheeple
01:06 Join the Revolution part of this is made
01:07 possible by another open AI API called
01:10 whisper which can turn my voice into
01:12 text with a high degree of accuracy in
01:14 addition I’m using a model from Google
01:15 Cloud to turn the chat GPT response back
01:18 into a voice so it’s voice to text to
01:20 chat GPT text back to voice and that’s
01:22 just an example of something I hacked
01:24 together in a few hours thanks to these
01:25 apis but in this tutorial we’re only
01:28 going to focus on the chat GPT API part
01:30 of it to get started you’ll first need
01:31 an openai account if you go to the
01:33 documentation you’ll find a new service
01:35 called chat completion it’s very similar
01:37 to other apis if you’re already familiar
01:39 with openai but this one is powered by
01:41 the GPT 3.5 turbo model it’s not free
01:44 and you’ll build about two tenths of a
01:46 penny for every 1 000 tokens a token is
01:49 basically a word or a piece of a word
01:51 currently the documentation only shows
01:52 python but it is supported in its
01:54 JavaScript SDK as well and that’s what
01:56 I’ll be using in this video for this
01:58 demo I’m working in a spell kit project
01:59 act but the code is very generic so feel
02:02 free to use whatever server-side
02:03 JavaScript tool you’d like all you have
02:04 to do is install the openai package then
02:07 import it into a file which in my case
02:09 is a server.ts file because we only want
02:11 this code to run on the server if you’re
02:13 using something like next.js you’d
02:14 likely want this code in an API route
02:16 from there we create a configuration
02:18 with our API key to authenticate to the
02:20 service I’m just going to copy mine from
02:22 the dashboard and hard-code it here but
02:23 in production you’d want to store it as
02:25 an environment variable now we can use
02:27 that configuration to access the entire
02:29 API from there I have an HTTP post
02:31 endpoint it only requires one piece of
02:33 data which is an array of messages the
02:36 messages represent the entire chat
02:37 between the user and the chat bot each
02:39 message is just an object that contains
02:41 the properties of role and content the
02:44 two main roles are user and assistant
02:46 but the chat can also start with a
02:48 system role which allows you to Prime
02:50 the chat with some context to nudge it
02:52 towards the right personality for
02:53 example we may want it to respond with
02:55 some witty poetry like Bukowski which
02:57 can be achieved with a system message
02:59 once we have that array of messages we
03:01 can then make a call to the API by
03:03 calling the create chat completion
03:04 method we specify the model of GPT 3.5
03:07 turbo and then pass in the array of
03:09 messages there’s actually no tuning
03:10 options on this model unlike other
03:12 models where you can control things like
03:14 the temperature Its Behavior is entirely
03:15 determined by that initial system
03:17 message and the context of the chat now
03:19 one thing that’s important to understand
03:20 here is that messages are measured in
03:22 tokens one token is usually a word but
03:25 might also include punctuation and
03:27 letters in an acronym the max number of
03:28 tokens Chachi BT can handle is 4096
03:31 which means you’ll need to manage the
03:33 number of tokens that you send to the
03:34 API because the more tokens you send the
03:37 more it will cost and the response times
03:38 will also be slower openai has a library
03:41 called tick token that can help you
03:43 count tokens although there’s also a
03:45 JavaScript library called gpt3 encoder
03:47 that you may want to use as well for now
03:49 though I’m just going to free ball it
03:50 from there the API will respond with a
03:52 new message which we can then send as a
03:54 response from this function so the
03:56 backend code is dead simple the more
03:58 complex part is the front end which
03:59 lives in the page.spel file where I have
04:01 an array of messages that I keep track
04:03 of then make a request to this endpoint
04:05 using the fetch API in addition I’ve got
04:07 a bunch of other stuff going on here
04:08 like voice recording but if you want to
04:10 learn how that works I plan on making a
04:12 separate tutorial next week if it’s not
04:14 out by next week just wait longer now
04:16 that you know how to use chat gbt you
04:18 should be able to easily build your own
04:19 million dollar side hustle thanks for
04:21 watching and I will see you in the next
04:23 one
, , , #ChatGPT #Official #API , [agora]