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How to Build AI Chatbots: Full Guide from Beginner to Pro (Latest Update)

1h 28m 8s14,155 palavras2,028 segmentsEnglish

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0:00

hi welcome back to the channel my name

0:01

is Bogdan and in this video I'll provide

0:04

you with the most comprehensive piece of

0:06

content on how to master AI chatbots if

0:09

you watch this video from start to

0:11

finish you'll be able to clearly

0:14

understand how AI chatbots work how to

0:16

build them and which kinds of chatbots

0:18

you can sell to businesses there is a

0:20

great tutorial on AI chatbots published

0:22

by leam Motley it covers a lot of Basics

0:25

so if you haven't checked it out yet

0:27

feel free to do so but it was published

0:29

almost a year year ago and since then

0:31

we've had a lot of updates Liam and I

0:34

actually discussed this recently how

0:36

rapid the technology advancement is I

0:38

mean in the last 10 months we've seen

0:40

more capable GPT models higher token

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limits new tools Vision capabilities

0:44

once GPT 40 is fully released will have

0:47

audio input and output and all of these

0:50

updates obviously create new use cases

0:52

for businesses so long story short this

0:55

video is going to be an updated version

0:58

of a full guide on AI chatbots my team

1:01

and I worked on this video for over a

1:04

month we could have made it a paid

1:06

course but we decided to offer it for

1:08

free well not exactly for free you pay

1:11

for it you pay for it with your

1:12

attention which is the currency of today

1:14

right so make sure your investment pays

1:17

off watch this video as many times as

1:20

you need but understand the information

1:22

here and act on it remember knowledge

1:25

alone doesn't equal results your actions

1:28

do and for full transparency my business

1:30

interest here is clear I've been

1:32

building IT solutions for The Last 5

1:34

Years with my current CTO we build a SAS

1:37

product a Marketplace and now we run an

1:40

AI automation agency you can check it

1:42

out at boss. agency what we essentially

1:45

do is build these AI chat Bots voice

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Bots and automation Solutions and we

1:51

sell them to various businesses we have

1:53

a team of developers we are fully

1:55

equipped to take on more complex

1:57

Solutions and we are not me specific so

2:01

the more leads we get the better if you

2:03

watch this video and find it valuable

2:05

YouTube algorithm will push it more I'll

2:08

get more attention and more leads for my

2:10

business I hope that makes sense to you

2:12

and explains why we spend a ridiculous

2:15

amount of time and effort to prepare

2:17

this comprehensive guide so what we'll

2:20

cover today first we'll discuss the AI

2:23

business potential if you clicks on this

2:24

video you already realize the potential

2:27

I know so I'll just quickly share some

2:29

important stuff

2:30

and explain what it means for you if you

2:32

want to leverage this AI opportunity

2:35

then we'll dive into understanding AI

2:37

chatbot this will be the theoretical

2:40

part of the video but I will only

2:42

discuss the parts that you'll deal with

2:44

in practice okay you absolutely must

2:47

understand and be able to talk about

2:49

these aspects because in 90% of cases

2:52

you'll touch on them during sales calls

2:55

of course if your goal is to build and

2:57

then sell these shots to businesses if

2:59

you if you want to learn more about llms

3:01

promting neural networks and other

3:04

fundamentals check out the suggested

3:06

videos in the description I highly

3:08

recommend Andre kpa's 1hour talk on

3:11

intro to large language models also

3:13

check out the IBM Channel they have a

3:15

great playlist called understanding AI

3:18

models and one of my favorite channels

3:20

is three blue one brown which also has a

3:23

fantastic playlist on neural networks I

3:25

also included a chapter on prompt

3:27

engineering because it is a skill it is

3:29

a skill that you need to learn in order

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to build efficient AI chatbots I'm going

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to share some tips and hacks on

3:36

prompting that can save you a lot of

3:37

money so make sure to use them next I'll

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share some interesting use cases all of

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them are from real life experiences as

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we get daily leads looking to implement

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AI Solutions in their businesses we have

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plenty of stories to share and then in

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the Practical part of the video I'll

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review the most useful tools for

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building and deploying AI chbs I'll show

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you how these tools have evolved over

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the past year adding some very

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interesting features finally we get to

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the most exciting part the Practical

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tutorials you might be tempted to skip

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everything and just jump right to this

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but I urge you to give the theory part a

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chance because you need to understand it

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before implementing these solutions for

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the tutorials I'll guide you through

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comprehensive Solutions step by step

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sharing my screen first I'll use a no

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code chatbot Builder to create a basic

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customer service chatbot then I'll show

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you how to build a more advanced chatbot

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introducing a product recommendation

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algorithm after that I'll demonstrate

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how to use custom code and different

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llms such as Cloe and Gemini explaining

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which cases each llm is best suited for

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and eventually I'll show you a

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comprehensive AI chatboard capable of

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providing customer support recognizing

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images and recommending real products

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based on the customers needs so we've

5:03

packed a few tutorials into one

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comprehensive video to make it as

5:07

valuable for you as

5:10

possible I could spend a lot of time

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discussing AI Trends and growth rates

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and by the way the AI Market is

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estimated to hit $1 trillion in the next

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six years numerous studies show that the

5:22

adoption rate of AI am businesses will

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keep increasing as shown in this slide

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but I will only say one word that should

5:30

matter most timing obviously this is a

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technology Revolution every company is

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diving into it we just had Apple's WWDC

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event introducing Apple intelligence

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which means hundreds of millions of

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people will start using AI accelerating

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Mass adoption even faster it's clear

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that we are quickly heading into a world

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where you can just take your phone talk

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to it and it responds intelligently

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knowing you and historically the

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penetration of new technology ology

6:00

typically begins with businesses to

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Consumer b2c Market before expanding

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into the B2B sector businesses to

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business it happened with social media

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platforms it happened with the internet

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and it's just beginning to happen with

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AI in the last 20 years we've seen

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businesses go digital companies made

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websites set up social media profiles

6:20

and moved from offline to online ads the

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next big thing is going to be automation

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especially with AI getting into to

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business processes this change aims to

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cut costs save time and overall boost

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efficiency and if we look back at the

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early days of going digital companies

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that focus on making websites and doing

6:42

social media marketing made a lot of

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money because the timing was right now

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we have a similar opportunity with AI

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agencies that focus on AI and automation

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will be key in helping businesses get on

6:54

board with these new technologies as

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more businesses start using AI you want

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to get in as early as possible this

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chart shows the technology adoption

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cycle and we are still at the early

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adoption stage which represents only

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13.5% of the market when the early

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majority and then the late majority

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start looking to implement AI Solutions

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you want to already be established as an

7:17

expert with track record with case

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studies in your portfolio again right

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now only a small number of businesses

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use AI but that's changing fast so the

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best time to start building and selling

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these Solutions particularly AI chatbots

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is

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now all right let's talk about chatbot

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just to make sure we're on the same page

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we've got two types here old school

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rule-based and the new AI powered ones

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the old school rule-based chwat are

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pretty limited and manual they work by

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following a set of predefined rules

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which means they can't handle anything

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outside those rules on the other hand AI

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powered chatbots use large language

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model to understand the user's query and

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provide an answer that's obvious right

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