Hey Krish, thanks for all of the info and confidence boost! Related to needing ML & DL to understand GenAI and its use cases better, I needed to brush up on the statistics and math to understand ML & DL algorithms. Following codebasics and your channel I could easily classify and cluster, but I regress... I didn't grasp the underlying concepts which were applicable beyond specific algorithms, and the steps were almost arbitrary. After some RUclips, For Dummies books, and talking to ChatGPT it's all coming together. Anyways, just want to share a bit of my journey and wish you and all other aspirants the best!
Hi sir , Our python course of hindi that is sufficent for our data science carrer...if not please sir continue ASAP please sir....I can't learn without you (you are excellent) please sir....✨💯
I am studying ml degree in my college hope all my wish is to secure a high paying job in my field not only with machine learning. Wish to cover all relevant of it to became prompt eng or gen ai
To do a sentiment analysis or a make a classification model it used to require a lot of time in data preprocessing , annotations with traditional ML and deep learning algorithms , but with the help of generative AI this can be done with 2-3 lines of prompting and can be done withing a day or two. So definitely here Generative AI sounds more reasonable.
@@aritratalapatra8452 Although i have not worked on structured tabular data one possible way to use gen AI is to convert your tabular data to text data using csv loader from langchain framework, then you can do the prompting techniques for classification.
@@aritratalapatra8452 the same dataset which we use for sentiment analysis or whatever data , has to be converted into jsonl format and give it LLM for fine tuning. yes the data preprocessing is easy but prediction cost and time is comparatively higher compared to other transformer models like bert.
I don't know if this is relevant to ask, but is it possible I am open to collaborating as well to be said sir you are more experienced in deciding and planing to make a cheat sheet for All algorithms for ML/DL/LLMt? Like the one we have for Big-O-Notation. Or something which we very useful to just keep before interviews and also help us to know what comes after what algo and how effective is it for what purpose.
🎥 Machine learning and deep learning are still relevant in 2024 for generative AI and data science careers. #### Highlights - 🏢 Many big companies like Meta, Google, and OpenAI are using generative AI and working towards creating AGI. - 💼 Job interviews in the data science industry focus on basic machine learning and deep learning algorithms. - 🌐 Companies solving generative AI use cases are using both open-source models and traditional ML/DL techniques. - 🔒 Data privacy and security are major limitations in using generative AI models. - 🎨 Generative AI models have limitations in creativity and following specific patterns. - 💰 Traditional ML/DL techniques have become more efficient, scalable, and cost-effective. - 🚀 Learning ML and DL techniques is still valuable for future career opportunities in generative AI.
Can you make one roadmap video for Data Engineering. I am currently working as a Manual tester having 2 yrs experience. Just confused which path should I go for - Data Engineer or Data Science. Also wanted to know which has more job opportunities?
I have been studying Deep Learning and Machine Learning since 2017. I still have to finish complete Deep Reinforcement Learning. It takes too much time to learn all this. If it will be that easy in future, I would say study more physics, robotics and use cases.
Hi Krish I have been working as a Qlik developer for the past three years. For switching to the data science field, is it necessary to go for data science certification?? If not, could you please share the roadmap to landing a data science job as an experience candidate?
Hi Krish. You mentioned about privacy with commerical models. Azure openai however does keep data private . Btw, what are your credentials around ai and ml? Are you experienced in this domain? Just fmi
"Sir, aapne GATE ke liye revision class nahi liya hai ab tak. Did you leave PW, and if yes, please take one revision class for the GATE exam on your channel if possible. It will help a lot, sir."
@@003_abhishekgupta9 yes, but in the context of machine learning and deep learning, this equation serves as the foundation for building more complex models.
The day Open Ai knows that Meta is about to Launch an Open Source Model having same capabalities of GPT-4 ...they will make GPT-4 a Opensource Model ..as they are already parallely building the equivalent ready to deploy open source models with their closed models ...Meta will most probably never win this game in building the best infrastructure for GEN AI ...
Hey Krish, thanks for all of the info and confidence boost!
Related to needing ML & DL to understand GenAI and its use cases better, I needed to brush up on the statistics and math to understand ML & DL algorithms. Following codebasics and your channel I could easily classify and cluster, but I regress... I didn't grasp the underlying concepts which were applicable beyond specific algorithms, and the steps were almost arbitrary. After some RUclips, For Dummies books, and talking to ChatGPT it's all coming together.
Anyways, just want to share a bit of my journey and wish you and all other aspirants the best!
ML is very much relevant as it's the backbone of GenAI
This video is really helpful to those how feel confused while learning GEN AI
Great to have a picture about what Market is expecting
You have cleared the most asked question in a very understanding manner. Thanks a lot.
Most wanted to know question, thank you so much for this video❤
Hi sir ,
Our python course of hindi that is sufficent for our data science carrer...if not please sir continue ASAP please sir....I can't learn without you (you are excellent) please sir....✨💯
True, what ever sir said is correct!, without the basic understanding and working of the scratch, I hope one easily cannot understand about GENAI.
Exact question i had, The video pops up. Thanks for the video Krish
I am studying ml degree in my college hope all my wish is to secure a high paying job in my field not only with machine learning. Wish to cover all relevant of it to became prompt eng or gen ai
Very relevant information for all the Organization. Great video
To do a sentiment analysis or a make a classification model it used to require a lot of time in data preprocessing , annotations with traditional ML and deep learning algorithms , but with the help of generative AI this can be done with 2-3 lines of prompting and can be done withing a day or two. So definitely here Generative AI sounds more reasonable.
How would you solve a traditional classification problem with tabular data using gen AI ? Just curious to know
@@aritratalapatra8452 Although i have not worked on structured tabular data one possible way to use gen AI is to convert your tabular data to text data using csv loader from langchain framework, then you can do the prompting techniques for classification.
@@aritratalapatra8452 the same dataset which we use for sentiment analysis or whatever data , has to be converted into jsonl format and give it LLM for fine tuning. yes the data preprocessing is easy but prediction cost and time is comparatively higher compared to other transformer models like bert.
🎉very true Sir fundamentals always help to be relevant
I don't know if this is relevant to ask, but is it possible I am open to collaborating as well to be said sir you are more experienced in deciding and planing to make a cheat sheet for All algorithms for ML/DL/LLMt? Like the one we have for Big-O-Notation. Or something which we very useful to just keep before interviews and also help us to know what comes after what algo and how effective is it for what purpose.
Sir please make a roadmap for complete machine learning
Great !!!
ML and DL will always be the base thanks krish for making me understand this thing I was really confused regarding the ML and GenAI❤❤
🎥 Machine learning and deep learning are still relevant in 2024 for generative AI and data science careers.
#### Highlights
- 🏢 Many big companies like Meta, Google, and OpenAI are using generative AI and working towards creating AGI.
- 💼 Job interviews in the data science industry focus on basic machine learning and deep learning algorithms.
- 🌐 Companies solving generative AI use cases are using both open-source models and traditional ML/DL techniques.
- 🔒 Data privacy and security are major limitations in using generative AI models.
- 🎨 Generative AI models have limitations in creativity and following specific patterns.
- 💰 Traditional ML/DL techniques have become more efficient, scalable, and cost-effective.
- 🚀 Learning ML and DL techniques is still valuable for future career opportunities in generative AI.
Can you make one roadmap video for Data Engineering. I am currently working as a Manual tester having 2 yrs experience. Just confused which path should I go for - Data Engineer or Data Science. Also wanted to know which has more job opportunities?
There is not a lot of difference between them. Start with going through basic ML concepts and building small ML projects based on them.
I have been studying Deep Learning and Machine Learning since 2017. I still have to finish complete Deep Reinforcement Learning. It takes too much time to learn all this. If it will be that easy in future, I would say study more physics, robotics and use cases.
GANs?
Yeah, krish, you are right👍
This question was in my mind for almost 6 months🙂
👍
6 months phle to 2023 tha.
@@AnA-xx1vx😂😂😂😂
@@AnA-xx1vx❤❤❤❤
Hello Krish, please also make a video on what prompt engineering is, how to learn, and its scope. Thanks
Hi Krish,
what are your sources to stay updated
धन्यवाद गुरुजी 🙏🥰
Thanks. And I randomly clicked some of your recording gear links and they seem to have same link for different items. please fix that too.
i wonder what all applications does gen AI really have apart from doc retrieval and chatbots. is it really worth the hype?
that's why most of companies are using lama2 model and fine tuning on their custom data
Please upload some videos on AWS for beginners to intermediate level..🙏
will career gap people can go for generative ai??
Hi Krish
I have been working as a Qlik developer for the past three years. For switching to the data science field, is it necessary to go for data science certification?? If not, could you please share the roadmap to landing a data science job as an experience candidate?
Writing pad link is same as camera link…! Please update it
Hi Krish. You mentioned about privacy with commerical models. Azure openai however does keep data private . Btw, what are your credentials around ai and ml? Are you experienced in this domain? Just fmi
Sir explain about RAG in generating ai sir
Is iNeuron courses worth buying to Crack MAANG abroad?
"Sir, aapne GATE ke liye revision class nahi liya hai ab tak. Did you leave PW, and if yes, please take one revision class for the GATE exam on your channel if possible. It will help a lot, sir."
I think you're in the wrong YT channel
@@krishkarpe6286 I am on right channel my friend. Krish sir taught us ML in DA Gate Course
very nice informative video
Sir managers ke liye koi job switch advice in AI ML?
Thanks 🙏
AI far more than just generative AI LLM ,Machine learning/ Deep learning most important for data science career
Hello Sir, I am going to pursue my masters in artificial intelligence and Machine Learning in the UK so will I land into a good job?
Ok good
Top class video as always 👏👏👏
Sir is software testing relevant in 2024???
Sir pichl kuch days se10 -10 hr pdh rha tha ML a video se title dekh ke dar gya 🥲
Does anyone know which software Krish sir use for writing notes???
Sir i am B.c.a student ..can i learn all ml and dl.? I dont know coding stuff..how to start basic things.
sir ji web3 ka pta nhi per Y=WX+b khi nhi jane wala.
Regression?
@@003_abhishekgupta9 yes, but in the context of machine learning and deep learning, this equation serves as the foundation for building more complex models.
web dev is still relevant. that answers your question.
Bro what u are talking u must know ml and deep learning.
And very relevant in 2024😂😂😂.
I don't no how you got this question
The day Open Ai knows that Meta is about to Launch an Open Source Model having same capabalities of GPT-4 ...they will make GPT-4 a Opensource Model ..as they are already parallely building the equivalent ready to deploy open source models with their closed models ...Meta will most probably never win this game in building the best infrastructure for GEN AI ...
ITS either OPEN AI ,MIRCROSOFT,NIVIDIA OR GOOGLE
I dont think so because, Mixtral having same capabalities of GPT-3.5. still openai hasn't open sourced gpt 3.5 model.
Great
❤❤❤❤
Sir , referral dedo😢
🙏
He will just say what you want to listen, The truth is reflected on JD of profile you are aiming for.
Yeah