this massive course about foundational generative AI was originally
recorded live we've put it all together into this one video this course offers
insights into generative models and different Frameworks investigating the
production of text and visual material produced by AI the course is taught by three
experienced instructors okay I think uh we can start with the session so hello
everyone good afternoon to all uh this is the very first session for the uh
generative AI uh from today onwards we
are going to start with a community session of generative AI so uh yes in
today's session we'll be talking about that what all thing we are going to discuss
uh throughout the sessions and uh this session actually it will be happening for uh
upcoming two weeks and uh it will be on the same time I'm going to take the session
from uh 3:00 p.m. onwards uh maybe 3: to 5 so here in this uh committee session
we'll try to to discuss many more thing regarding the generative AI so we'll start
from very basic and we'll go to the advanc there
we'll try to develop different different type of applications as well uh
first of all I will start with the theory uh so there I will uh discuss about the
theoretical uh uh like stuff and all that what is generative AI what is a llm and
after that I will uh like go with the open a Lang and don't worry each and
everything I will discuss in a very detailed way and and uh I will show you the
dashboard as well where all the lectures and all will be uploaded and apart from
that I will uh show you the
uh like uh where you can find out all the videos quizzes and uh
assignments and all because along with the session I will give you the different
different assignment different different quizzes so at least you can practice with
the concepts got it guys yes or no so are you excited please do let me know in the
chat if you are excited then great so I think we going to start and uh so first of
all guys what I will uh do I will give you the uh the detail introduction of the
course that what all think we are going to discuss in this
committee session and uh here basically this is our dashboard so let me
share this link with all of you so uh don't worry my team will share the link of
this dashboard in the chat so from there what you can do you can enroll it is
completely free you no need to pay anything for this uh committee session and all
the lectures and all the assignment and quizzes will be uploaded over here don't
worry I will come to the curriculum also so here first of all let me show you the
homepage uh this is the
homepage guys uh this is the homepage of this dashboard and there uh uh
like you can enroll in this particular dashboard and don't worry uh each and every
video you will find out over the Inon YouTube channel as well so all the recorded
video and all it will be available inside the Inon YouTube channel uh definitely
this video is going to be record after the session so this video will be available
inside the I YouTube channel as well as uh over the dashboard so here guys this is
the dashboard I
think you got a link of the dashboard so there you can enroll and then uh
like you can start your journey of the generative AI so here guys uh me and buy
both are going to take this particular session so there we are going to discuss in
depth uh about the generative AI about the llm we'll try to discuss about a various
application various recent model llm models and all uh we have so many things uh to
discuss about the generative AI we have planned for the two weeks but uh maybe uh
more than 2 weeks uh we'll try to uh take if we are
not able to cover and like all the curriculum whatever we have defined
whatever we have thought uh so definitely we'll be extending the date as well but
,yeah we will make sure that within 2 week whatever curriculum we have defined we'll
try to complete it so here guys are me and uh buy so if you don't know about me
guys so my name is Sun my name is s Savita I'm working in Aon from past three year
and I have I'm having an expertise in data science uh I have explored U every
aspect of the data science like machine learning deep
learning and advanced deep learning like computer vision NLP I have
worked with the mlops as well uh there I have designed a various applications and
all got it so yeah uh you can search me about more over the LinkedIn uh there you
will get uh you will you will get got my profile and you will uh like uh get each
and everything in a detailed way so here guys uh what you need to do so first of
all you need to enroll to this particular dashboard uh you no need to pay anything
over here and if you are
going to login after login what you need to do uh so uh you will be
redirect redirecting to this uh particular dashboard and uh so let me show you the
dashboard first of all this is the dashboard guys as of now there is no such videos
and all uh definitely after the session we'll uh upload the videos and assignment
and quizzes so definitely along with the sessions and all you can practice so this
thing is clear to all of you yes or no have you enroll uh through this dashboard
did you get this Dashboard please do confirm in the chat
I'm waiting for your reply please do it guys great so I can see uh uh
many people are saying yes so definitely now uh we can discuss about the
curriculums and all so whatever thing we are going to discuss throughout this
committee session first of all I will give you the detail uh like uh detail
introduction of the uh syllabus uh what all topics we have uh we'll try to more
focus on the re recent Trends I'm not going into the uh classical uh machine
learning and the Deep learning basically so I will focus
more Focus basically on the open Ai langen and all so don't worry I will
give you the detail introduction of the syllabus uh that whatever thing we are
going to discuss inside this committee session so the first thing what you need to
do guys you need to enroll inside this dashboard and uh whatever like videos and
all you will get uh you will like go through and basically you can watch it over
here itself directly now let's discuss about the curriculum and all that what all
thing we are going to discuss and uh for
that basically I have created one PPT so let me show you that particular
p PPT uh just a second so here is a PPT guys can you see this PPT yes or no please
do confirm in the chat if it is visible to all of you great I think uh this uh PP
is visible to all of you now guys uh we can discuss uh that uh what will be our uh
like topics and all uh that what all thing basically we have to discuss throughout
this committee session so here uh first of all I will start from the generative AI
so there I will give you the detail
overview of the generative AI that what is a generative AI uh why uh we
should use a generative AI uh what all type of like application we can create and
uh each and everything each and every every theoretical stuff we try to discuss
regarding the generative Ai and after that after the generative AI I will come to
this uh large language model so just a second let me open my uh pen as well so I
can write it down um each and everything yeah so here guys uh we can uh I can write
it down as well now so here the
first thing basically first I'm going to start from the generative AI
there uh definitely I'll will be talking about each and everything each and every
aspect of the generative AI then after that I will come to this large language
model there I will try to discuss this llms large language model in a very detailed
way we'll try to see the complete history of the large language model that what is
,a large language model what types of model we have what was the classical model and
uh what is a recent model okay so each and everything
we'll try to discuss regarding this llms and after that after completing
this uh theoretical part theoretical of this uh stuff and all regarding the
generative AI regarding this llms I will come to this open AI open Ai and this
lenen so there uh we'll try to discuss in a very detailed way that what is the open
AI what is the open AI API and inside the open AI API we have a different different
them right so in OPI openi itself you will find out a various model that like openi
open has created a various model uh that different
different version of the gpts okay so it is having some uh like a old
model as well some legacies and all and some upcoming models so each and every
model will try to discuss I will give you the walk through regarding those
particular model and I will discuss about the python API python uh API uh that uh
how you can uh use utilize those particular model by using the python getting my
point and apart from that apart from the python API and all will try to discuss
that uh like if we are going to be uh if
we are going to use the Lenin right so how it is different from the open
AI so at the first place I will give you the uh detailed differences between this
open Ai and this lenen that how it is different to each other that why this Lenin
is required then I will come to the Lenin and then again we'll try to create uh
again basically we'll try to Define the lenen and all uh by using the python we'll
try to uh use the lenen or different different like a component of the Lenin like
memory chain agents and
all and yes after that I will try to create one application okay so here
uh basically we'll try to create one application and with that uh definitely we'll
be able to justify the knowledge whatever actually uh we are going to learn
regarding this llm open lenion by using uh that by creating that particular project
and after that I will uh come to the advanced part Advanced part like uh Vector
databases uh we'll try to discuss about a different different Vector databases and
first of all we'll try to
discuss the need of the vector database that why it is required what is
the meaning of the embedding uh how we can uh like uh save the embedding how we can
retrieve that and how this a vector database this a vector database plays an
important role whenever we are going to create any application related to this llms
okay so there we'll try to discuss about the vector databases and then I will come
to the some open source model so uh first of all I will come to this uh llama uh
and I will discuss about the
Llama indexes what is the Llama index and we have a like couple of Open
Source model which is a very very famous so we'll try to talk about those model as
well like we have a llama to itself we have a falcon we have a bloom there are
various model and we'll show You by using those model how you can create uh like a
how you can create your end to and application uh you can solve any sort of a task
just take a name don't worry I will give you the detail overview about the NLP and
all that what all task does exist what all task
basically we have what all task we can solve by using this llm each and
everything we'll talk about and then finally we'll create one more end to endend
project there we'll try to uh use the entire knowledge uh whatever we are going to
be learn uh like this Vector databases different different open source model and a
length CH open a llama indexes and finally we'll try to deploy that model by using
the amops concept so did you uh like this syllabus yes or no please do let me know
guys please do let me know in the chat if you
, like the syllabus yes or no the agenda is clear to all of you if you can
write it down the chat I think uh that would be great great so I can see many yes
in the chat and many people are saying yes they are able to get yes don't worry
we'll give you the PPT and all each and everything will be there in a uh resource
section so from there you can download this PP you can download this entire thing
whatever I'm uh like I will be using throughout the session yes uh so fine I got a
confirmation now uh the first thing uh
many people are asking the prerequisite what will be the prerequisite if
you are starting with this committee session so prerequisite wise uh if you have a
basic knowledge of the Python if you have a basic knowledge of the Python if you
know about the core python uh in a core python actually we have uh uh like a ifls
for Loop and uh different different type of data structure and the knowledge of the
database exception handling if you are uh if you know about the basic python the
basics of python then
definitely you can proceed with this go along with that if you have a
like some basic knowledge about machine learning and deep learning so you will
understand uh the concept basically whatever uh like we are going to teach you in a
better manner in a better way because here I'm not going to talk about the
classical uh ml or the basics of the deep learning like uh artificial NE Network
CNN and all definitely I will give you the overview about the transfer learning
fine tuning and all but here uh
uh I won't talk about the neural network and this recurr neural network
lstms and all so uh if you have a basic understanding of machine learning and uh
deep learning so definitely you will understand the concept in a very well manner
otherwise basic python knowledge is fine for creating application basic python
knowledge is uh like fine okay so you no need to worry about it uh whatever thing
actually I need to explain you definitely I will do that uh in the class itself and
uh we'll do the live implementation I'm not going to
show you any uh pre-written code and all uh definitely I will write it
down each and everything in front of you only got it so prerequisite is clear so
prerequisite nothing just a python or uh I can write it down over here basic
knowledge basic knowledge of ML and DL if you know this much then definitely uh
like uh you will be able to understand each and everything in a well manner great
so yes we'll talk about the RG approaches and all each and everything diffusion
model is there there are some recent model in l each
and everything will talk about and you will be capable so uh let's say if
you are working in your company or maybe you are trying to switch into the
generative AI or maybe you are fresher in every uh case right so this community
course will help you definitely if you if you are going to attend every session if
you are going to learn along with me definitely you can build anything after
learning all sort of a thing got it great so I think uh this uh introduction is
clear to all of you now I already discussed
about uh about the dashboard and all so uh I given you the walk through
of the dashboard so link you can find it out inside the chat inside the chat and
from there itself you can enroll now the syllabus is clear dashboard is clear each
and everything is fine so I think we can start with the introduction of generative
AI generative Ai and llm because from today's on uh from tomorrow's onwards I I
will be like move to the Practical part and there I will be talking about the open
a how to generate a open key how to use the open
API and uh we'll try to understand the chat completion API functional API
and uh we'll try to understand the concept of the token also that what is a token
uh like how many token should I use whenever we are giving any sort of a prompt
recorded live we've put it all together into this one video this course offers
insights into generative models and different Frameworks investigating the
production of text and visual material produced by AI the course is taught by three
experienced instructors okay I think uh we can start with the session so hello
everyone good afternoon to all uh this is the very first session for the uh
generative AI uh from today onwards we
are going to start with a community session of generative AI so uh yes in
today's session we'll be talking about that what all thing we are going to discuss
uh throughout the sessions and uh this session actually it will be happening for uh
upcoming two weeks and uh it will be on the same time I'm going to take the session
from uh 3:00 p.m. onwards uh maybe 3: to 5 so here in this uh committee session
we'll try to to discuss many more thing regarding the generative AI so we'll start
from very basic and we'll go to the advanc there
we'll try to develop different different type of applications as well uh
first of all I will start with the theory uh so there I will uh discuss about the
theoretical uh uh like stuff and all that what is generative AI what is a llm and
after that I will uh like go with the open a Lang and don't worry each and
everything I will discuss in a very detailed way and and uh I will show you the
dashboard as well where all the lectures and all will be uploaded and apart from
that I will uh show you the
uh like uh where you can find out all the videos quizzes and uh
assignments and all because along with the session I will give you the different
different assignment different different quizzes so at least you can practice with
the concepts got it guys yes or no so are you excited please do let me know in the
chat if you are excited then great so I think we going to start and uh so first of
all guys what I will uh do I will give you the uh the detail introduction of the
course that what all think we are going to discuss in this
committee session and uh here basically this is our dashboard so let me
share this link with all of you so uh don't worry my team will share the link of
this dashboard in the chat so from there what you can do you can enroll it is
completely free you no need to pay anything for this uh committee session and all
the lectures and all the assignment and quizzes will be uploaded over here don't
worry I will come to the curriculum also so here first of all let me show you the
homepage uh this is the
homepage guys uh this is the homepage of this dashboard and there uh uh
like you can enroll in this particular dashboard and don't worry uh each and every
video you will find out over the Inon YouTube channel as well so all the recorded
video and all it will be available inside the Inon YouTube channel uh definitely
this video is going to be record after the session so this video will be available
inside the I YouTube channel as well as uh over the dashboard so here guys this is
the dashboard I
think you got a link of the dashboard so there you can enroll and then uh
like you can start your journey of the generative AI so here guys uh me and buy
both are going to take this particular session so there we are going to discuss in
depth uh about the generative AI about the llm we'll try to discuss about a various
application various recent model llm models and all uh we have so many things uh to
discuss about the generative AI we have planned for the two weeks but uh maybe uh
more than 2 weeks uh we'll try to uh take if we are
not able to cover and like all the curriculum whatever we have defined
whatever we have thought uh so definitely we'll be extending the date as well but
,yeah we will make sure that within 2 week whatever curriculum we have defined we'll
try to complete it so here guys are me and uh buy so if you don't know about me
guys so my name is Sun my name is s Savita I'm working in Aon from past three year
and I have I'm having an expertise in data science uh I have explored U every
aspect of the data science like machine learning deep
learning and advanced deep learning like computer vision NLP I have
worked with the mlops as well uh there I have designed a various applications and
all got it so yeah uh you can search me about more over the LinkedIn uh there you
will get uh you will you will get got my profile and you will uh like uh get each
and everything in a detailed way so here guys uh what you need to do so first of
all you need to enroll to this particular dashboard uh you no need to pay anything
over here and if you are
going to login after login what you need to do uh so uh you will be
redirect redirecting to this uh particular dashboard and uh so let me show you the
dashboard first of all this is the dashboard guys as of now there is no such videos
and all uh definitely after the session we'll uh upload the videos and assignment
and quizzes so definitely along with the sessions and all you can practice so this
thing is clear to all of you yes or no have you enroll uh through this dashboard
did you get this Dashboard please do confirm in the chat
I'm waiting for your reply please do it guys great so I can see uh uh
many people are saying yes so definitely now uh we can discuss about the
curriculums and all so whatever thing we are going to discuss throughout this
committee session first of all I will give you the detail uh like uh detail
introduction of the uh syllabus uh what all topics we have uh we'll try to more
focus on the re recent Trends I'm not going into the uh classical uh machine
learning and the Deep learning basically so I will focus
more Focus basically on the open Ai langen and all so don't worry I will
give you the detail introduction of the syllabus uh that whatever thing we are
going to discuss inside this committee session so the first thing what you need to
do guys you need to enroll inside this dashboard and uh whatever like videos and
all you will get uh you will like go through and basically you can watch it over
here itself directly now let's discuss about the curriculum and all that what all
thing we are going to discuss and uh for
that basically I have created one PPT so let me show you that particular
p PPT uh just a second so here is a PPT guys can you see this PPT yes or no please
do confirm in the chat if it is visible to all of you great I think uh this uh PP
is visible to all of you now guys uh we can discuss uh that uh what will be our uh
like topics and all uh that what all thing basically we have to discuss throughout
this committee session so here uh first of all I will start from the generative AI
so there I will give you the detail
overview of the generative AI that what is a generative AI uh why uh we
should use a generative AI uh what all type of like application we can create and
uh each and everything each and every every theoretical stuff we try to discuss
regarding the generative Ai and after that after the generative AI I will come to
this uh large language model so just a second let me open my uh pen as well so I
can write it down um each and everything yeah so here guys uh we can uh I can write
it down as well now so here the
first thing basically first I'm going to start from the generative AI
there uh definitely I'll will be talking about each and everything each and every
aspect of the generative AI then after that I will come to this large language
model there I will try to discuss this llms large language model in a very detailed
way we'll try to see the complete history of the large language model that what is
,a large language model what types of model we have what was the classical model and
uh what is a recent model okay so each and everything
we'll try to discuss regarding this llms and after that after completing
this uh theoretical part theoretical of this uh stuff and all regarding the
generative AI regarding this llms I will come to this open AI open Ai and this
lenen so there uh we'll try to discuss in a very detailed way that what is the open
AI what is the open AI API and inside the open AI API we have a different different
them right so in OPI openi itself you will find out a various model that like openi
open has created a various model uh that different
different version of the gpts okay so it is having some uh like a old
model as well some legacies and all and some upcoming models so each and every
model will try to discuss I will give you the walk through regarding those
particular model and I will discuss about the python API python uh API uh that uh
how you can uh use utilize those particular model by using the python getting my
point and apart from that apart from the python API and all will try to discuss
that uh like if we are going to be uh if
we are going to use the Lenin right so how it is different from the open
AI so at the first place I will give you the uh detailed differences between this
open Ai and this lenen that how it is different to each other that why this Lenin
is required then I will come to the Lenin and then again we'll try to create uh
again basically we'll try to Define the lenen and all uh by using the python we'll
try to uh use the lenen or different different like a component of the Lenin like
memory chain agents and
all and yes after that I will try to create one application okay so here
uh basically we'll try to create one application and with that uh definitely we'll
be able to justify the knowledge whatever actually uh we are going to learn
regarding this llm open lenion by using uh that by creating that particular project
and after that I will uh come to the advanced part Advanced part like uh Vector
databases uh we'll try to discuss about a different different Vector databases and
first of all we'll try to
discuss the need of the vector database that why it is required what is
the meaning of the embedding uh how we can uh like uh save the embedding how we can
retrieve that and how this a vector database this a vector database plays an
important role whenever we are going to create any application related to this llms
okay so there we'll try to discuss about the vector databases and then I will come
to the some open source model so uh first of all I will come to this uh llama uh
and I will discuss about the
Llama indexes what is the Llama index and we have a like couple of Open
Source model which is a very very famous so we'll try to talk about those model as
well like we have a llama to itself we have a falcon we have a bloom there are
various model and we'll show You by using those model how you can create uh like a
how you can create your end to and application uh you can solve any sort of a task
just take a name don't worry I will give you the detail overview about the NLP and
all that what all task does exist what all task
basically we have what all task we can solve by using this llm each and
everything we'll talk about and then finally we'll create one more end to endend
project there we'll try to uh use the entire knowledge uh whatever we are going to
be learn uh like this Vector databases different different open source model and a
length CH open a llama indexes and finally we'll try to deploy that model by using
the amops concept so did you uh like this syllabus yes or no please do let me know
guys please do let me know in the chat if you
, like the syllabus yes or no the agenda is clear to all of you if you can
write it down the chat I think uh that would be great great so I can see many yes
in the chat and many people are saying yes they are able to get yes don't worry
we'll give you the PPT and all each and everything will be there in a uh resource
section so from there you can download this PP you can download this entire thing
whatever I'm uh like I will be using throughout the session yes uh so fine I got a
confirmation now uh the first thing uh
many people are asking the prerequisite what will be the prerequisite if
you are starting with this committee session so prerequisite wise uh if you have a
basic knowledge of the Python if you have a basic knowledge of the Python if you
know about the core python uh in a core python actually we have uh uh like a ifls
for Loop and uh different different type of data structure and the knowledge of the
database exception handling if you are uh if you know about the basic python the
basics of python then
definitely you can proceed with this go along with that if you have a
like some basic knowledge about machine learning and deep learning so you will
understand uh the concept basically whatever uh like we are going to teach you in a
better manner in a better way because here I'm not going to talk about the
classical uh ml or the basics of the deep learning like uh artificial NE Network
CNN and all definitely I will give you the overview about the transfer learning
fine tuning and all but here uh
uh I won't talk about the neural network and this recurr neural network
lstms and all so uh if you have a basic understanding of machine learning and uh
deep learning so definitely you will understand the concept in a very well manner
otherwise basic python knowledge is fine for creating application basic python
knowledge is uh like fine okay so you no need to worry about it uh whatever thing
actually I need to explain you definitely I will do that uh in the class itself and
uh we'll do the live implementation I'm not going to
show you any uh pre-written code and all uh definitely I will write it
down each and everything in front of you only got it so prerequisite is clear so
prerequisite nothing just a python or uh I can write it down over here basic
knowledge basic knowledge of ML and DL if you know this much then definitely uh
like uh you will be able to understand each and everything in a well manner great
so yes we'll talk about the RG approaches and all each and everything diffusion
model is there there are some recent model in l each
and everything will talk about and you will be capable so uh let's say if
you are working in your company or maybe you are trying to switch into the
generative AI or maybe you are fresher in every uh case right so this community
course will help you definitely if you if you are going to attend every session if
you are going to learn along with me definitely you can build anything after
learning all sort of a thing got it great so I think uh this uh introduction is
clear to all of you now I already discussed
about uh about the dashboard and all so uh I given you the walk through
of the dashboard so link you can find it out inside the chat inside the chat and
from there itself you can enroll now the syllabus is clear dashboard is clear each
and everything is fine so I think we can start with the introduction of generative
AI generative Ai and llm because from today's on uh from tomorrow's onwards I I
will be like move to the Practical part and there I will be talking about the open
a how to generate a open key how to use the open
API and uh we'll try to understand the chat completion API functional API
and uh we'll try to understand the concept of the token also that what is a token
uh like how many token should I use whenever we are giving any sort of a prompt
