Starting Generative AI On Cloud New Series- AWS And Azure
Summary
TLDRYouTuber Krishak announces new video series on deploying generative AI applications on cloud platforms like Azure and AWS. He plans to cover Azure AI Services and AWS Sagemaker, including fine-tuning, deployment, and production. Krishak emphasizes the importance of having Azure and AWS accounts for practical experience. He outlines prerequisites like NLP knowledge, Python, and familiarity with frameworks like Langchain and Hugging Face. He also stresses the value of dedication and building an online presence to showcase skills and projects.
Takeaways
- 😀 The speaker, Krishak, is launching new YouTube playlists focused on implementing generative AI applications in cloud platforms like Azure and AWS.
- 🌐 The playlists will cover Azure AI Services and AWS Sagemaker, including topics like fine-tuning models, deployment, and setting up endpoints.
- 🔧 Krishak emphasizes the importance of understanding LLM (Large Language Models) Ops, which is an extension of MLOps tailored for language models.
- 💼 The content is aimed at helping viewers make career transitions and meet industry requirements for working with generative AI in the cloud.
- 💡 Krishak will demonstrate how to take AI models from development to production, highlighting the significance of this skill in the job market.
- 💼 The speaker suggests that having an Azure and AWS account is essential, even for those with limited budgets, as it provides hands-on experience with cloud services.
- 📚 Prerequisites for the playlists include knowledge of NLP, Python programming, and familiarity with frameworks like Langchain, Lama, and Hugging Face.
- 💼 Krishak advises viewers to be dedicated and build a strong online presence to showcase their skills and attract potential job opportunities.
- 📈 The playlists will be progressive, starting with basics and building up to more complex applications, aligning with Krishak's teaching philosophy.
- 🔗 The speaker encourages viewers to support the channel, subscribe, and turn on notifications to stay updated with the new content.
Q & A
What is the main focus of Krishak's YouTube channel?
-Krishak's YouTube channel focuses on Generative AI, showcasing the use of various frameworks and Foundation models for creating end-to-end applications.
What new series is Krishak planning to start on his channel?
-Krishak is planning to start a series on implementing Generative AI applications in Cloud platforms such as Azure and AWS.
What specific services within Azure AI Services will Krishak be covering?
-Krishak will be covering Azure Open AI Services, including applications related to images and text.
How does Krishak plan to demonstrate the use of AWS SageMaker?
-Krishak plans to demonstrate how to create end-to-end Generative AI applications using AWS SageMaker, including fine-tuning, deployment, and setting up endpoints.
What is the importance of fine-tuning and deployment in the context of Krishak's videos?
-Fine-tuning and deployment are important as they cover the process of taking AI models from development to production, which is a critical skill in the industry.
What does Krishak mean by 'LLM Ops'?
-Krishak refers to 'LLM Ops' (Large Language Model Operations), which is an extension of MLOps specifically focused on the operations and management of large language models.
What are the prerequisites Krishak mentions for his new series?
-The prerequisites include knowledge of NLP, Python programming, understanding of machine learning and deep learning concepts like word embeddings, and hands-on experience with frameworks like Hugging Face.
Why does Krishak emphasize the need for an Azure and AWS account for his new series?
-Krishak emphasizes the need for Azure and AWS accounts because the new series will focus on cloud-based implementations, and having these accounts allows viewers to practice and gain practical experience.
What advice does Krishak give regarding dedication and learning from his content?
-Krishak advises viewers to be dedicated, focused, and to build solutions and projects to showcase their skills and credibility online.
How does Krishak plan to manage costs for viewers who might be concerned about using Azure and AWS services?
-Krishak plans to demonstrate services that are cost-effective, using smaller datasets for fine-tuning to minimize charges, and ensuring to stop services to avoid unnecessary costs.
What is Krishak's final request to his viewers at the end of the script?
-Krishak's final request is for viewers to support his channel by subscribing, pressing the Bell notification icon, and looking forward to the next video.
Outlines
🌟 Introduction to Generative AI and Upcoming Series
Krishak introduces himself and his YouTube channel, which has been focusing on generative AI for the past few months. He has used various frameworks and Foundation models to demonstrate how to create end-to-end applications. He expresses gratitude for the positive feedback he's received and announces two new series: one on Azure AI Services, exploring image and text applications, and the other on AWS Sagemaker, focusing on end-to-end generative AI application creation, including fine-tuning, deployment, and production. He emphasizes the importance of covering fine-tuning and deployment in the production phase, which is crucial for industry applications. He also mentions the upcoming inclusion of Google Cloud and Google Vertex AI in future videos.
💼 Prerequisites and Encouragement for Learning Generative AI
Krishak outlines the prerequisites for his upcoming series, emphasizing the need for a strong foundation in NLP, Python programming, and understanding of machine learning, particularly deep learning and concepts like word embeddings and transformers. He suggests having hands-on experience with platforms like Hugging Face and common web frameworks. He also stresses the importance of having Azure and AWS accounts, even with a small budget, to gain practical experience with cloud services. He encourages dedication and continuous learning, highlighting the significance of building a strong online presence and showcasing one's skills. He ends with a request for viewers to support his channel by subscribing and engaging with the content.
Mindmap
Keywords
💡Generative AI
💡Foundation Models
💡Fine-tuning
💡Cloud Platforms
💡Azure AI Services
💡AWS SageMaker
💡Deployment
💡LLM Ops
💡Prerequisites
💡Hands-on Experience
💡Online Credibility
Highlights
Introduction to a new series on generative AI applications in cloud platforms.
Demonstrations of using different generative AI frameworks like Lang chain, Lama, and Foundation models.
Showcasing how to fine-tune foundation models with custom datasets.
Success stories of viewers making career transitions with the help of the channel's content.
Announcement of two new playlists focusing on Azure AI Services and AWS SageMaker.
Explanation of the scope of Azure AI Services in relation to OpenAI models.
Details on the AWS SageMaker platform and its support for various foundation models.
Coverage of fine-tuning, deployment, and production phase techniques for generative AI applications.
Introduction to the concept of LLM Ops as a specialization within ML Ops.
The importance of having an Azure and AWS account for practical implementation.
Strategies for managing costs while using cloud services for development.
Prerequisites for the new series, including knowledge of NLP, Python, and experience with web frameworks.
Emphasis on the necessity of hands-on experience with Hugging Face and understanding of word embeddings.
Advice on building a strong online presence and credibility through project sharing.
Encouragement for viewers to be dedicated and proactive in their learning journey.
A call to action for viewers to subscribe and support the channel for continued content creation.
Transcripts
hello all my name is krishak and welcome
to my YouTube channel so guys from past
two to three months I've been uploading
a lot of videos specifically related to
generative Ai and there I've actually
used different different Frameworks like
Lang chain Lama index use multiple
different Foundation models whenever a
New Foundation model is probably coming
up I'm actually also showing your demo
how you can actually use it for creating
an endtoend applications you know and
with respect to all these kind of
foundation models I've shown how you can
also fine tune with your own custom data
set and many more things now uh based on
all these videos I've seen like many
many people have also made successful
career transition I've been getting a
lot of messages and they are really
appreciating the specific playlist now
considering this I had a conversation
with them and I asked like what more
things are specifically required in the
industry or what all work they are
actually doing then they had actually
requested for creating or a playlist
specifically on implementing generative
AI apps or applications in Cloud
platforms Cloud platform basically means
uh in Azure in AWS or in Google Cloud so
considering this I'm going to probably
start this specific series uh uh I'm
going to start two parallel series two
specific playlists one is in Azure AI
services or specifically if I talk about
Azure open AI Services I'm going to use
over there and what all things are there
with with respect to images with respect
to text all those kind of applications
I'm going to develop through that the
second one is probably working with uh
AWS Sage maker and trying to show you
how you can actually create an end to
endend geni application uh it will be
including fine-tuning it will be
including deployment it will be
including endpoints and many more things
one very important thing that I'm
actually going to cover in all the
specific playlist is about how you can
actually do the fin tuning along with
that how you can take it to the
deployment part till the production
phase how you can do the entire
deployments how you can come up with
this entire amazing techniques of llm
plat llm Ops okay so it was mlops before
now llm Ops specifically where we will
be working with this kind of llm models
itself uh if I compare Azure and awsc
since you know that uh Microsoft is
investing a huge amount of money in open
AI right so definitely all the services
that are specifically available with
respect to opena will also be available
in this Microsoft azure so most of the
models that we'll be seeing will be uh
related to uh this openi itself in the
Azure Cloud itself but if I consider AWS
like you have AWS Sage maker you have um
uh in AWS Sage maker specifically if I
talk about there are different different
Foundation models both open source both
clo play paid Source everything those
kind of models are also there right
mostly they charge with respect to the
inferencing and with respect to the paid
models they may be charging based on the
number of requests
right so I will be covering both these
things and later on once I probably
upload some n number of videos later on
we'll also be seeing how we can use uh
Google cloud or how we can use Google
Vortex for creating all this kind of gen
application where we will try to also
use Google gini pro 1.5 right so all
these models obviously till now I have
shown you everything with respect to
development like how we can develop it
in a coding environment itself but again
my main aim is to take it to the
production and that is super important
because in companies when you probably
go they definitely will be requiring all
those things to you will be requiring
all those things to impress the
interviewers right so all these
techniques will probably be getting
covered okay now one of the common
question that I usually get whenever I
start any series any series of playlist
right like what are the prerequisites
see guys with respect to prerequisite
obviously knowledge of NLP is required
right you really need to have a good
knowledge of NLP because here it is more
about implementation thing but
theoretical implementation theoretical
understanding if I say word embedding if
I probably say vectors you should be
able to understand all those things
right so all those videos and playlist
have already created so that Foundation
is definitely required first is your
Python programming language NLP in
machine learning NLP in deep learning
you should really know how does a
transform work what is word embeddings
what are the different kind of word
embeddings at least some hands-on
experience with hugging face at least
some hands-on experience with some of
the common web Frameworks like Lang
chain Lama index and lot right so if you
are following my playlist if you are
following me if you are following my
content I think you should never have a
problem with respect to that because I
always make sure that I plan my content
in a specific way that initially all the
basic things is basically shown it to
you and later on we keep on building
amazing applications as we go ahead
right so that is the first prerequisite
you really need to have right all the
necessary things before we start the
specific thing the second thing that I
really want as a prerequisite is that
see guys um you need to have Azure
account and AWS account I know people
will be saying chish we don't have
credit card we don't have this we don't
have that try to try to see it guys
because see um many many people right
will try to take this as an experience
if you have worked little bit or not I'm
not saying that invest $100 $200 every
month no right hardly $10 I will try to
create a videos in such a way that both
in Azure account or in AWS account
hardly with respect to $10 we will go
with the pay as you go Services we I
will try to show you all the services
that is probably required and maximum
amount of money will just go with
respect to fine tuning and for that also
I will take care that I'll take a
smaller data set so that much charges
will not happen from your side right and
at the end of the day every video that I
will be creating I'll be making sure
that I'll stop that services in front of
you right so it is important you really
need to have an AWS account and Azure
account because I'm telling you guys if
you sincerely follow this and nowadays
companies are are wanting the skills
generative AI something or AI something
that will probably be included in every
text tack you cannot run away out of it
you know tomorrow anywhere that you
probably go every text tack that is
involved you have to work generative AI
or AI skill sets is going to come over
there right so it is good that we
basically Bally know with respect to all
the cloud platforms also see AWS Azure
everywhere generative a AI something is
basically included over there right so
it is important you really need to have
these two specific accounts without
these two accounts you cannot probably
go and even check it out because all
because we will be developing everything
in the cloud platform itself right so
this is the second prerequisite the
third prequisite is that if you are
learning right please make sure that you
be dedicated in it right when in terms
of implementation in terms of sharing
knowledge in terms of Building Solutions
in terms of building projects and share
it with the entire world your online
credibility is very much important you
know because people will come and ask
you like how you can actually do it
companies can come and give you some
freelancing work many people will come
and refer you right unless and until
they don't see the talent and in this
age where you have an internet right I
think there is a huge scope of
showcasing your talent throughout the
world right and that is important right
right I've seen many people hey Krish
there is no jobs with respect to data
science some people are able to crack
three to four jobs how they able to do
it because they keep on working on it
right so just don't keep on complaining
instead it is your life it is you who
has to probably take it forward so it is
you you basically who has to work hard
so definitely keep on working hard keep
on doing well with respect to this
unless and until you don't devote your
100% or 120% trust me it is not going to
work out so this is a request from my
side any playlist that you probably
follow please focus and learn it in a
separate way right a way that can you
can actually create a differentiated
skill right and just don't follow my
playlist only see after completing my
playlist always keep on looking for more
and more examples build more solutions
right so yes uh this was it for my side
one last request guys as you all know
lot of efforts is there in developing
all this kind of videos and projects so
please make sure that you keep on
supporting please do make sure that you
subscribe the channel channel uh press
the Bell notification icon and yes I
will see you all in the next video have
a great day thank you and all take care
bye-bye
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