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@JoanApita
2 ай бұрын
I've been searching through countless tutorials on fine-tuning for almost a month now, and I finally found yours. Thank you so much! Please keep making more content.
@maryammiradi
2 ай бұрын
Super glad to hear that this was helpful! Let me know if there are specific subjects that you want to have content about 👋
@Nitish_niraj
5 күн бұрын
Thank you ma'am for this lacture. Free data science guide
@maryammiradi
5 күн бұрын
Thank you! Sure! Please grab it here: www.maryammiradi.com/free-guide
@gudapativenkateswararao706
2 ай бұрын
The quality of explanation reflects your doctorate .Just classic.
@maryammiradi
2 ай бұрын
@gudapativenkateswararao706 Thanks alot!!
@skohari
2 ай бұрын
What a brilliant video and resourceful channel! Thanks so much, doc!
@maryammiradi
2 ай бұрын
Thank you very much and very glad to hear it is useful to you 😄👋
@samsonv9332
2 ай бұрын
Great educational video! Lots of insights in just 15 minutes, thank you for making this!
@maryammiradi
2 ай бұрын
Really glad to hear that it was useful for you 👋
@timmysmith9991
2 ай бұрын
Wow. Awesome tutorial, Doc. Many thanks.
@maryammiradi
2 ай бұрын
Thanks alot!! Glad it was useful 👋😄
@Gokulraj75
2 ай бұрын
Thanks a million for the Clear Explanation...
@maryammiradi
2 ай бұрын
Thank you for listening and glad it was helpful 👋
@maryammiradi
2 ай бұрын
Dear Everyone, Sorry I forgot to mention in Video Intro 😅but Sentiment Analysis is in Step 2, NLP Tasks!! Time: 2:15
@user-wc7em8kf9d
2 ай бұрын
What a discovery! Thank you Dr. Maryam.
@maryammiradi
2 ай бұрын
Glad it is useful to you 👋😄
@DouglasThompson_Profile
Ай бұрын
Great intro to Huggingface. Thanks for enlightenment.
@maryammiradi
Ай бұрын
Really glad to hear that this was helpful to you!! 👋
@mylifeasaarav
2 ай бұрын
Thank you for making such an insightful video!
@maryammiradi
2 ай бұрын
Glad to hear it was insightful for you! Have you recently started working with LLMs?
@elhamzahmatkesh5275
Ай бұрын
ممنون مریم جان🌻
@maryammiradi
Ай бұрын
Glad it is helpful 👋
@faaz12356
Ай бұрын
You got a new subscriber, very useful video , thx
@maryammiradi
Ай бұрын
Glad to hear it was useful 👋
@amirmasoud_iravani
2 ай бұрын
thnaks for producing such excellent contents😍
@maryammiradi
2 ай бұрын
Glad to hear it is useful 👋
@BookshelfJourney
2 ай бұрын
Great job. Maryam.
@maryammiradi
2 ай бұрын
Thanks alot!! 👋
@jdub8204
2 ай бұрын
Hi Maryam, I'm brand new to learning data science. I really enjoy your step by step implementation and explanations. I would love your free data science guide as a reference, as I continue to explore these topics. Many thanks and please keep up the great work!
@maryammiradi
2 ай бұрын
Super glad to hear it is helpful for you. Here is the link to grab your free guide: www.maryammiradi.com/free-guide
@jdub8204
2 ай бұрын
@@maryammiradi Thank you Maryam! Would love if you could continue to explore Hugging Face - Time Series Analysis and compare setup/performance vs your previous tutorial on the 36 models.
@maryammiradi
2 ай бұрын
@jdub8204 Do you mean building Time Series with Hugging Face or Do you mean as separate things because Hugging Face is more for LLMs NLP and Computer Vision where ScikitLearn 36!Models are suitable for Machine Learning problems. Then for Time Series you have got so many different options from Statistics, Machine Learning to Deep Learning up to the latest LLMs that can be used for Time series
@jdub8204
2 ай бұрын
@@maryammiradi Wow thanks for the quick replies Maryam. There's so many models/technologies - that I'm confusing myself and their application. In particular, I'm interested in time series forecasting - and predicting behavior based on historical data. Since I'm new, would you recommend focusing on one particular model (eg XGBoost?) Thank you
@maryammiradi
2 ай бұрын
@jdub8204, yes absolutely one model, specially XGBoost is great!! So idd please focus on that one! I will make also Time Series Videos in the future 👋
@justthefactsplease
2 ай бұрын
This instructional vid is something I was looking for. I am looking to do more of a rating type of app, but the sentiment analysis is a good start for that. I would like to get a copy of your free data science guide. Thanks.
@maryammiradi
2 ай бұрын
Glad it was what you were looking for. For rating type of app consider using Text Classification models. And here you can get my free guide: www.maryammiradi.com/free-guide
@learning_rust
Ай бұрын
Thank you! That's really useful to know about the emotions based sentiment analysis (roberta-base-go_emotions) ! 😊
@maryammiradi
Ай бұрын
My pleasure!! Glad it is helpful 👋 Hugging face make it so easy to do Sentiment Analysis and their emotions models are really great at detecting emotions
@utkarshkapil
2 ай бұрын
Great content! subscribing right awayy
@maryammiradi
2 ай бұрын
Glad to hear!!
@SyntroGro
2 ай бұрын
Free data science guide
@maryammiradi
2 ай бұрын
Of course! Please grab it hear: www.maryammiradi.com/free-guide
@eriqfromimo2570
2 ай бұрын
Great video! I enjoyed and learned a lot. Thank you. I would love to receive the Data Science Guide
@maryammiradi
2 ай бұрын
Really glad to hear!! Here you can find the Free Data Science Guide: www.maryammiradi.com/free-guide
@vukv1225
2 ай бұрын
Excellent explanation!
@maryammiradi
2 ай бұрын
Glad you liked the explanation 👋
@djpete2009
2 ай бұрын
Oh wow! Fabulous content, Dr. Hugging Face truly rocks. Could I get the Data Science Guide, please? Many thanks. 💯🙌
@maryammiradi
2 ай бұрын
Thank you very much!! Glad to hear!! The link to guide is here: www.maryammiradi.com/free-guide
@aymenhanzouli7236
2 ай бұрын
Keep up the good work 👍
@maryammiradi
2 ай бұрын
Thanks
@mehdismaeili3743
2 ай бұрын
Excellent. please make more videos.
@maryammiradi
2 ай бұрын
Thanks alot!! I will do 👋
@hey.Sourin
2 ай бұрын
Cool!
@gauravbhattacharya7788
2 ай бұрын
Excellent Video once again 😍 can you make a video on how to evaluate LLM Apps like RAGs using various metrics
@maryammiradi
2 ай бұрын
Glad it was useful! Absolutely! LLM evaluation is absolutely on my list. Thank for the suggestion
@djpete2009
2 ай бұрын
@@maryammiradi Yes! A RAG and LLM OS architecture video would be amazing.
@maryammiradi
2 ай бұрын
RAG is also important part of the LLM ladder do I will definitely make a video about it
@matrixlnmi169
2 ай бұрын
Free data science guide
@maryammiradi
2 ай бұрын
Of course! Here you go: www.maryammiradi.com/free-guide
@ChristopherZhou-d3s
2 ай бұрын
Free DataScience Guide!
@maryammiradi
2 ай бұрын
Here you go: www.maryammiradi.com/free-guide
@aipreacher9378
2 ай бұрын
Good work doctor, can you tell in some video how to do quantization for large models
@maryammiradi
2 ай бұрын
Sure! I will put it on Video Ideas 💡 if you have specific questions please let me know.
@Rits1804-l4r
2 ай бұрын
hello I'm from India, Thanks for the clear explanation could you please make more videos on finetuning as many youtuber have not covered it (clear explanation) , try to make it for language translation it would be great if you make it , Thanks in advance I loved the way you explained the things. little suggestion- Try to reduce the size of the face camera
@maryammiradi
2 ай бұрын
Glad to hear that my explanation was clear. Thanks alot for the suggestion! Will definitely talk about Fine Tuning in the coming weeks!!
@raom2127
Ай бұрын
your explanations and vedios is good can ypu tell which software using for doing vedio.
@maryammiradi
Ай бұрын
Do you mean for video editing?
@raom2127
Ай бұрын
Yes Correct pls
@maryammiradi
Ай бұрын
@@raom2127 Camtasia
@raom2127
Ай бұрын
Thanks for you reply my namaste🙏
@Lets_learnit
2 ай бұрын
Free Data science guide
@maryammiradi
2 ай бұрын
Sure! Here it is: www.maryammiradi.com/free-guide
@PramodRao27
2 ай бұрын
Super useful. Thanks Maryam. Could you make a video on langchain and langsmith?
@maryammiradi
2 ай бұрын
Thank you! Absolutely! Have you seen my other video from my LLM series. I am explaining LLM ladder & Prompt tuning & Prefix tuning 👋 kzitem.info/news/bejne/qaGQtXt9r4yrmmksi=kxHtTkCfM51eUEGE
@logeshwaran7115
2 ай бұрын
Free Datascience guide
@maryammiradi
2 ай бұрын
Of course! Here you go: www.maryammiradi.com/free-guide
@asifurrahman2111
2 ай бұрын
Hi Maryam. Really loving your videos. I am seen your last video on time series and really found it helpful. I am exploring the opportunity of Temporal Fusion Transfers on Time Series Forecasting.
@maryammiradi
2 ай бұрын
@asifurrahman2111 TFTs can forecast multiple time steps into the future, making them great for various applications. In which industry are you applying Time Series?
@asifurrahman2111
2 ай бұрын
@@maryammiradi Well I am planning to use TFTs in the field of hydrology. As the data comes from multiple sources and exhibits significant variation, I thought that the TFT model will be ideal.
@maryammiradi
2 ай бұрын
@@asifurrahman2111 Great Idea!! It is idd a very good choice
@majukanumi9639
2 ай бұрын
french accent ..very nice and good video
@maryammiradi
2 ай бұрын
I am not French 😅
@majukanumi9639
2 ай бұрын
@@maryammiradi means french speaking
@maryammiradi
2 ай бұрын
@@majukanumi9639 I am not French Speaking either
@majukanumi9639
2 ай бұрын
@@maryammiradi ok sorry than you have a beautiful accent musical words coming from your mouth
@maryammiradi
2 ай бұрын
Thank you very much! 🙏
@gowthamk8531
Ай бұрын
Science guide
@maryammiradi
Ай бұрын
Of course! Go ahead and grab it here: www.maryammiradi.com/free-guide
@MulugetaKalayou
Ай бұрын
When I run the trainer.train() syntax at Step #6 (12:20') the following error popped out, what is the problem? All the codes before that line works good. Here is the error: NameError Traceback (most recent call last) in () 1 # Evaluate the model ----> 2 result = trainer.evaluate() 3 print(result) NameError: name 'trainer' is not defined
@maryammiradi
Ай бұрын
The Trainer should be applied to your specific model and then you can run the evaluation. trainer = Trainer( model, args, train_dataset=encoded_dataset[“train”], eval_dataset=encoded_dataset[“validation”], tokenizer=tokenizer, compute_metrics=compute_metrics ) trainer.evaluate() trainer.predict(encoded_dataset[“test”])
@gowithgaurav9617
2 ай бұрын
If we are dealing with sensitive/confidential data is it safe to use embeddings from huggingfaceembeddings?How secure is it?
@maryammiradi
2 ай бұрын
If you're using Hugging Face's hosted API services, ensure that data is transmitted over secure channels. Hugging Face models are pre-trained and may not be aware of the sensitive nature of your data. Using models locally rather than via API can mitigate this risk.
@WaquarAhmed92
2 ай бұрын
Free Data Science Guide
@maryammiradi
2 ай бұрын
Sure! Here you go: www.maryammiradi.com/free-guide
@ragha2846vs
Ай бұрын
Hi, very informative video. also if possible can you send me your Free Data Science Guide, Thanks!
@maryammiradi
Ай бұрын
Thank you very much and of course here is when you can grab the guide: www.maryammiradi.com/free-guide
@julienduchesneau9747
Ай бұрын
looks like a valuable video but I dont get it, I guess I am not there yet.
@maryammiradi
Ай бұрын
@@julienduchesneau9747 Would you let me know which part is not clear tp you? To learn NLP and LLMs you need to have some foundation in AI and ML. What is your field of study? Hopefully I can help you with more resources
@julienduchesneau9747
Ай бұрын
@@maryammiradi I never used hunging face yet because I don't have a suitable GPU (to try local LLM) so I am lost right at the beggining, I dont even know what do you use to type on. I am just learning for myself, from scratch. With the help of ChatGPT I did a chatbot on my twitch account using Python in VScode. It is super basic because also super cheap. So I watch several youtube video about AI to continu learning and improve my chatBot. So yeah thanks for the reply but you don't have to, I have sub to your channel so I will come back later when I feel I need it.
@maryammiradi
Ай бұрын
@julienduchesneau9747 The most important thing that Hugging Face offers is not their local LLMs but their Python library transforms. This library allows you to so any kind of NLP task that you want just with importing this library and then just use their pipeline function. My code is in Google colab. It is notebook with link in the description. What you would learn from this video is not only Hugging face but also what kind of NLP tasks are possible and for which purposes you can use LLMs, like summarization and Sentiment Analysis. Let me know if you have other questions. 👋
@julienduchesneau9747
Ай бұрын
@@maryammiradi oh wow really??!!! ok I will definetly watch it again and also search about notebook. Sometime there is so much stuff to learn, especially for a begginer, github ananconda langchain streamlit... AND everthing goes so fast in AI, it is crazy how each month there is new cool stuff. Thanks for the reply also it is really helpfull
@julienduchesneau9747
Ай бұрын
@@maryammiradi oh wow really??!!! I will definetly watch it again then and take a look about notebook, another thing that I dont use already but probably a must. So much thing to look into when we begin, Github, anaconda, langchain, streamlit, RAG. AI is so cool tho I am not tired learning about it and it is so crazy to see how things advance month after month. Thanks for the reply I am pretty sure it will help my chatbot a lot
@aniketrajpoot1092
2 ай бұрын
Free Data Science Guide
@maryammiradi
2 ай бұрын
Of course! Please go ahead and pick up guide here: www.maryammiradi.com/free-guide
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