Roadmap to Learn Generative AI(LLM's) In 2024 With Free Videos And Materials- Krish Naik

hello all my name is kushak and welcome to my YouTube channel so guys before the start of every new year I usually plan that what of skill sets I really need to add in my bucket list so that I'll be able to teach you all I will be also able to show you that how specifically it is used in Industries in 2023 you know I had targeted various mlof platform and if you probably see my videos in my YouTube channel I've covered a lot of end to end projects I have covered lot many mlops platform tools you know and I've shown each and everything which was really beneficial for many people out there who really want to make successful career transition into the data science Industry and mlops I think in 2024 also it will play a very important role since right now llm applications are basically coming up you know generative AI is there so many Tools in generative AI have actually come Frameworks libraries and many more things so mlops will still be there in 2024 but my main aim in 2023 was to understand all all about different different mlops platform and try to create videos try to upgrade myself with respect to all those skill sets and provide those videos to you this was very beneficial many people were able to make successful career transition now in 2024 I also going to focus see in 2023 also from past 3 to four months I'm really much focused in generative AI solving amazing use cases trying to see multiple Frameworks trying to see multiple llm models how you can find unit how you can probably use it in business use cases and based on that I'm also creating projects but majorly in 2024 right the weightage between mlops and generative AI I will try to put my most of the weightage in understanding different different Frameworks Cloud platforms techniques in uh business use cases in the field of generative AI so in this video like if you are also interested and obviously you can see the growth in generative area how it is happening every other day some of new things are actually coming right Let It Be models Let It Be llm models the recent launch of Google Gemini I know that gini did not provide you the you know right kind of demo video but other than that you have MRA 7B you have uh open AI GPD 4 Turbo right all these models are specifically coming now people are using this in creating amazing AI applications and you can see there are a lot of startups from image to text text to image there's so many different things I was just seeing one AI platform today you know uh it is basically called as pabs you just give a prompt and it'll try to create an amazing video for you right and just imagine you don't even require a video editing any any person over there right and this is super easy right when you probably see this kind of application so 2024 I'm going to completely Focus most of my like if I say 100% from that 100% I'm going to focus 60 to 70% in generative Ai and 30% with respect to mlops platform and uh don't worry every videos that I probably learn will be coming in the form of YouTube channel but in this video if you are also really interested to understand about generative AI I've created an amazing road map uh to learn gen VI in 2024 uh and this will be specifically for two kind of roles which I'm actually going to discuss and this road map trust me it has some prerequisits I'm also going to provide you some videos over here because if you just cover those prerequisits that will be more than sufficient to start with generative AI yeah and this is for all those people who are really interested to work in the data field right data analytics field if you're a developer if you probably want to work into the gener VA I think you don't even require this prerequisite and I'll also call out that specific information over here in my GitHub once I probably show you the specific road map so let me go ahead and let me share my screen so this is the road map to learn generative AI so here you can probably see everything is there I've provided videos link I have everything the prerequisites that is actually required everything is mentioned over here and please make sure that you F this repository keep a star on it because 2024 I am going to really create a lot many things over here it'll be quite amazing right many many things will be coming with respect to projects with respect to Frameworks with respect to what all things I'm going to specifically cover in Lang chain everything right so let's start and let's understand this particular road map before you go ahead please make sure that you hit like for this particular video we target it to th likes at least you know because this will be super beneficial because here you're going to get all the videos all the materials everything in front of you with respect to the prerequisits now I will talk about two different profiles over here one profile is that if you want to get into the data analytics industry and let's say you want to probably start if you're starting from scratch okay starting from scratch or from past two years you also already in the data Antics field you learning about data science what kind of upgradation you can basically do the second type of people will be core developers right so in my company also we have used generative AI we are creating support systems we are creating assignment Q&A systems many more things are there right now those developers are specifically creating and they don't have need to have all the knowledge with respect to some kind of prerequisite as such directly they can start with generative AI so I will be talking about both of them step by step we'll try to understand so the road map to learn about generative a in 2024 is that first of all you start with one programming language I will again prefer Python programming language because trust me any llm models that is probably coming from hugging phase to open AI uh to Mistral everywhere python hdk is there right so python hdk with the help of Python programming language you'll be able to access those apis you'll be able to probably work on them you'll able able to probably implement any kind of applications and not only that you'll also be able to deploy because they are good Cloud platforms that have specifically come with respect to that okay so here Python programming language I've given this particular link see I've already created Python programming language in English in Hindi you'll be able to probably find out all these particular videos I've already shown you this particular videos good videos If you probably see there are millions and millions of views with respect to this all videos again at the end of the day this will be super beneficial for everyone out there right and not only this python if you just want to also become a python programmer everything is covered from modular coding to inheritance to oops conent everything thing is probably explained along with materials so this is the first thing now here in third and fourth I've also added some Frameworks playlist right like what like flash playlist fast API tutorials and all right so these are Frameworks streamlet is one framework different different Frameworks you can specifically use okay it is up to you see I've created videos on streamlet also I've created videos on gradio also but I've just given two Frameworks over here flask and fast API to just give you an idea if you search for streamlet in my YouTube Channel you'll be able to get those videos also so python is the first thing okay usually if you are from another like other like core uh if you're directly a developer you have working in applications you're creating like full stack web developer you're having those kind of position and let's say someone comes and tells you okay go ahead and apply this generative AI things in our project try to create a chatbot try to create something at that time you don't require python whatever will be a core language like JavaScript or Java you can go ahead with that because that kind of SDK is also provided but this is specifically with respect to the data field now coming to the next thing see over here the road map that I'm talking about generative AI this is with respect to llm models I'm not talking about large image models okay what I feel is that computer vision large image models is also good but the kind of kind of upd upgradation that are specifically happening is with respect to llm model so this is the one thing that I'm talking about this road map I really want to make it for understanding like how you can become better in generative AI in the field of llm applications okay large language model whenever I say large language model I'm basically talking about nlps okay uh I I'm not exploring much in large image models because uh computer vision I too don't have that much interest so in my YouTube channel also you'll be finding videos that I have not uploaded much with respect to computer vision okay but I'm really interested in NLP so after completing python you will basically be having having the base machine learning basic machine learning natural language processing again this is basically the prerequisites okay and here I've given i' I've taken already natural language processing live session where I've covered in five days all these topics ylp one hot encoding bag of words TF IDF word to average word to and there are lot many topics that I've actually covered which you'll be able to find over here from day one to day 5th so if I probably go ahead and open this particular video here from day one to day five you'll be getting every everything like word embedding cow what is Skip gram what Toc the this five video will be able to help you understand because see this is a very good road map a prerequisite a short road map I'm not going to make a very big road map because this concept is basically used so that you understand them what is vectors you know how we convert text into a numerical variable all these things will be important for your interview because in the interview they'll not directly ask Genera way I think they'll first of all see how good your Basics is right so considering this here I could add more topics over here based on this day one to day five but your task is as a prerequisite is to basically see this day one to day five and this also includes practical implementation now the third day third part is that you need to cover basic deep learning Concepts now when I say basic deep learning Concepts this is something related to a Ann like how does a multi-layer neural network work what is perceptron what is forward propagation backward propagation activation function loss function optimizers what is weight initialization techniques what is Vanishing gradient problem everything right over here again I've not written much topics so that you don't look it does not look very big for you and you don't get demotivated but all these Concepts again I have made a live playlist in uh in my community series that is regarding day one to day five so if you probably uh open this link okay so here you'll be able to see day one to day five after day five if I see this uh deep learning concept so what I will do I will open my YouTube channel and I'll write Krish Nayak live deep learning okay so I will update those link over there and here you have right so this is basically your live deep learning sessions okay so here you can probably see this day one to day five this is basically the prerequisite right all the important things how does forward propagation work what is chain rule of derivatives uh what exactly is optimizers what exactly is loss function what is forward propagation backward propagation till CNN I have actually implemented and shown in the practical way so this link I will try to update it over here right so in basic deep planning concept this is must Because unless you don't understand that the further topics you'll not be able to understand this is the smartest way that I've actually created a road map where unnecessary jargons need not be added okay then after you complete this then we go to the advanced NLP concept now Advanced NLP concept is nothing but day six to last video which one if you probably click this link here you'll be able to see 6 to entire till Transformer so here you can see day six day 7 here I've discussed about RNN here I've discussed about back propagation in RNN lstm RNN word embedding lstm practical implementation Advanced LM series by Direction lhm Transformers encoder decoder everything is basically covered in all the specific videos so if you are able to cover this from day six to probably 13th or 14th video all these topics will be easily covered if you are not able to find some topic go and search for that topic with my name over there I I have lot of videos I have 1,800 plus videos in my YouTube channel where I've covered everything and this is what I've done from past three years all the basics Concepts has made strong so that you can clear the interview there is no query that you cannot clear the interview guys the kind of content that I have put in my YouTube channel is completely from free scratch everything from Basics so that you learn any advanced thing it will be very much easy for you to crack the interview so that is what my Advanced NLP concept say where my main aim was to coverted Transformers because after that whenever you start your generative AI that basically means most of your models are in the form of Transformers or B right so here you have gp4 mrol 7B so here is where you probably start your journey this is what is the prerequisite till here right and that is the reason I've created this prerequisite in this specific way and it is simple it's more about learn to the point right don't waste your time much learn to the point see some practical implementation because I don't think so this kind of practical implementation you will be doing in the industry also but yes in the interview they may ask you now for those people who are directly developer they can also jump in this particular topic right they can directly start from here because at the end of the day they are very good at development you know who are full stack web developer who are working in the software engineering field they can directly use this apis and they can implement it now if I talk about some important things over here right starting the journey towards generative AI I you need to really be very much open-minded in probably doing a research on all these models right gp4 Mall 7B llama llama index uh hugging face opens Source libraries Google pal model and all right I've written over here because there are lot of updates that are coming with respect to the specific models and I'll tell you gp4 is must hugging face is must llama Mall 7B mrol 7B has now recently come up with one amazing model again we say it as 8 A7 crossb right something like that I'll be talking more about those model as we go ahead right then and also try to see open source llm models because with the with all this help of this models you know you can develop any business use cases that are specifically related to NLP right NLP natural language processing any use cases chat B to text summarization to documentation anything quiz anything so that is specifically required for the companies you will be able to do this right and that is the reason why many companies are specifically using it large image models also you can use because all this large image models they'll be providing you diffusion models they'll be providing you di right and based on that you can do all further on top of it but really I'm focusing more on llm is right now so the first thing is open aai it has amazing documentation link I've already created videos good playlist of videos over here you can definitely look it out and this documentation you really need to be good at and the best thing about this documentation in open aai it provides you good amazing things right open AI start with this videos are given you can definitely refer it this year I'm going to Target langin like anything langin already if you go and see my YouTube playlist they are around 10 to 12 videos but langin is one amazing library that acts as a wrapper on top of open AI it can also use hugging face it has so many different functionalities to create all the llm models not only this now Lang chain also provides you deployment techniques like Lang serve you know chain rest as rest apis this is nothing but it is entirely called as Langs Smith so you can probably see this is your langin application it may be in Python it may be in JavaScript on top of of that you'll be creating some template you'll be doing the deployment in the form of apis by using this Lang so going forward I really want to probably see this entire tool and deployment techniques also and it is very much it is recently been announced right why I like lantion is that because it has so many different functionalities over here right different different functionalities from chat Bots to prompts to uh modules to probably if you go and see right what is Lang we will be releasing a hosted version of Lang from one click deployment just imagine just one click deployment all these things we are going to explore like anything as we go ahead right in llms what exactly is unsync API this all prompting most of the videos that I've have already created but every day I see something is getting added in this documentation right over here only if you probably see with respect to retrieval right in document loader like which all documents you'll be able to load like CSV file directory HTML Json markdown PDF document Transformer how do you split the documents and all everything but most of this everything will be combined in the form of a project in the end to- endend project where I do the deployment in an amazing way right all those things will basically be covered and here is a detailed video after I get a good expertise on Lang chain I will also be starting with chain lit so chain lit is another one documentation which looks very good over here right good uh you'll be able to do everything with the help of Lang chain Lama index here also it is supported you'll also be able to do the deployment right everything is there you can do it in AWS Azure Google route replate render fly.io hugging face spaces okay so once you probably cover this right now in this two years you can probably Target open Ai and Lang chain and chain lead okay that is what I'm actually going to do and based on this I will try to create a lot of videos okay Lang chain again you can interact with hugging face models llama mral 7B anything as such whatever you want okay the next topic that you really need to focus is about Vector databases and Vector stores now Vector database will play a very important role and again this will again be a part of langin itself because in langin it provides you functionalities some of the vector databases that I've already explored is like chroma f it is f Vector databas is nothing but which makes use of Facebook AI similarity search library right so this is coming from Facebook land DB Vector database based on the Lan data format so there is a format which is called as Lan data set and again you'll be able to apply similarity search cassendra DB for storing vectors cassendra DB is also amazing mongod DB is also amazing right at the end of the day if you have any text you really want to convert that into vectors and since it is for the performance Sak you really need to store it in some kind of vector database so that you can retrieve it and you enjoy it then finally after doing this you have to probably do the deployment of llm projects and this is what I'm going to Target within one month you'll find all these videos in my YouTube channel right in WS Azure lsmith Langer hugging face wherever you want to do the deployment and finally guys if you really want to go ahead and check like how does gen what is generative AI whether generative AI is there for no I've given the course link over here okay this is a free community course where everybody can probably apply for it you'll find all the videos materials and all and it is live Series right now we are in day five day six so please go ahead and check it out it's completely for free see whether generative AI is for you or not and I hope if you in the data field I feel you really need to go towards generative AI right at the end of the day because interview sake yes basic questions will be asked but when you implement things in the production level this all will be very much handy and this is what is my main aim in 2024 I hope you like this particular video uh yes please go ahead uh right now this is in private I'll make it public so let me go ahead and make it public so I will change it to public so that you can so access it make this repository public and now one final thing is that I will also update this specific link okay of deep learning so I hope you like this particular video this was it for my side I will see you all in the next video have a great day thank you and all take care bye-bye

Channel: Krish Naik

Views: 195,132

Keywords: yt:cc=on, roadmap to learn generative ai, open ai tutorials, langchain tutorials, chainlit tutorials, machine learning tutorials, deep learnign tutorials, llm application, large language models tutorials, krish naik

Id: nCglvjJkU8A

Length: 20min 16sec (1216 seconds)

Published: Tue Dec 12 2023