@@maryammiradi thanks for the response mam this no mam I am not a data scientist i am undergrad still in the college learning about the field of data science and this are the topics which i find challenging - 1) Doing the eda and feature engineering on the raw dataset and this is the most crucial step before implementing the machine learning solution 2) Not having the idea about how to implement the time series data end to end production ready system using the MLops tools 3) how to do the hyperparameter tuning of our deep learning architecture as when I do that it gets overfitted 4) how to implement the research paper using the pytorch as it is a most valuable and essential skill to become a top tier data sciencetist like you It would be very kind of you if you could tutorials on this topics Again thanks for your warm gesture
hello mam iam from nepal and has been loving your content.Iam expecting a lang graph series as well as other data science projects from you also free data science guide mam
@maryammiradi thanks f or the response mam this no mam I am not a data scientist i am undergrad still in the college learning about the field of data science and this are the topics which i find challenging - 1) Doing the eda and feature engineering on the raw dataset and this is the most crucial step before implementing the machine learning solution 2) Not having the idea about how to implement the time series data end to end production ready system using the MLops tools 3) how to do the hyperparameter tuning of our deep learning architecture as when I do that it gets overfitted 4) how to implement the research paper using the pytorch as it is a most valuable and essential skill to become a top tier data sciencetist like you It would be very kind of you if you could tutorials on this topics
@@KumR no, there are two different things. With many shot prompting you improve your the communication with your LLM to improve the outcome. With fine tuning you adjust the internal parameters of LLM to improve the outcome for example for an specialized task like medical or healthcare. Both improve the outcome but with different approaches.
![The moment we stopped understanding AI [AlexNet]](http://i.ytimg.com/vi/UZDiGooFs54/mqdefault.jpg)
🙋🏻♀️Get Access to my 20+ Years Experience in AI: ⚡️Free guide: www.maryammiradi.com/free-guide
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I truly appreciate your hard work and your honest attempt to share your knowledge. 🙏
@@AdarshKumar-sj5dn Thank you 🙏
Excellent tutorials Dr Miradi👏
Thanks alot and I am glad it was useful 😄
kindly post full course video about "Claude 3.5 sonnet model" fine tuning and API
Will put it on my list. Thank you.
This is incredible , i also want Free Data science Guide
Glad to hear! Here you go, here you can find the guide: www.maryammiradi.com/free-guide
I appreciate you sharing your experiences and I have the utmost respect for your work
@@alishafii9141 Thanks alot and glad it is useful 👋
Hello mam your unique projects series was great please add more unique project modules in it
Sure, let me know which topics / techniques are most challenging to you and let me know if you are a data scientist
@@maryammiradi thanks for the response mam this no mam I am not a data scientist i am undergrad still in the college learning about the field of data science and this are the topics which i find challenging -
1) Doing the eda and feature engineering on the raw dataset and this is the most crucial step before implementing the machine learning solution
2) Not having the idea about how to implement the time series data end to end production ready system using the MLops tools
3) how to do the hyperparameter tuning of our deep learning architecture as when I do that it gets overfitted
4) how to implement the research paper using the pytorch as it is a most valuable and essential skill to become a top tier data sciencetist like you
It would be very kind of you if you could tutorials on this topics
Again thanks for your warm gesture
hello mam iam from nepal and has been loving your content.Iam expecting a lang graph series as well as other data science projects from you also free data science guide mam
@@pradeepjungkarki4510 Thanks and Langgraph is already on my list. Here is the link to My Free Data Science Guide: www.maryammiradi.com/free-guide
Well explained .. thanks for the gr8 video
Very glad to hear! If there are specific subjects in LLMs you want to know about let me know.
Free data science guide
Of course! Here you go: www.maryammiradi.com/free-guide
Thank you so much for your amazing videos. This is really helpful for beginner in using Hugging Face.
Really glad to hear it is useful to you 👋
Free Data Science Guide
@@alishafii9141 Here you can find y Free Data Science Guide: www.maryammiradi.com/free-guide
Thanks for sharing! where can we find the code for prompt tuning and prefix tuning as you shown in your video?
Of course! I Will put it a notebook and share it soon.
@@maryammiradi thank you so much for your prompt response! It's very helpful!!!
Free Data science Guide
Of course! Go ahead and grab it here: www.maryammiradi.com/free-guide
Free Data Science Guide
Sure! Here you can grab the free data science guide: www.maryammiradi.com/free-guide
Free Data Science Guide
Sure! Please go ahead and grab the Free Data Science guide here: www.maryammiradi.com/free-guide
@maryammiradi thanks f
or the response mam this no mam I am not a data scientist i am undergrad still in the college learning about the field of data science and this are the topics which i find challenging -
1) Doing the eda and feature engineering on the raw dataset and this is the most crucial step before implementing the machine learning solution
2) Not having the idea about how to implement the time series data end to end production ready system using the MLops tools
3) how to do the hyperparameter tuning of our deep learning architecture as when I do that it gets overfitted
4) how to implement the research paper using the pytorch as it is a most valuable and essential skill to become a top tier data sciencetist like you
It would be very kind of you if you could tutorials on this topics
Thanks for all the suggestions. I will add them to my list.
Hello.. Is many shot prompting similar to fine tuning?
@@KumR no, there are two different things. With many shot prompting you improve your the communication with your LLM to improve the outcome. With fine tuning you adjust the internal parameters of LLM to improve the outcome for example for an specialized task like medical or healthcare. Both improve the outcome but with different approaches.
@@maryammiradi Thanks mam
Free Data Science Guide
@@ehabghallab223 of course here you go: www.maryammiradi.com/free-guide
@@maryammiradi Thank you
@@ehabghallab223 you are very welcome and good luck