Great, Thanks. The multi line approach works with alphabet, but with not with Japanese. It does multi lines but ignoring the size constraint, and it crops. The text always appears the same regardless of what I select for the size (i.e. 0.8*clip width, 0.2* clip width etc..). Any thought?

Nice video! What website did you get the api endpoint from?

Nice to see basic level concepts of JSON's in this advanced tutorial guide. You are doing great job

And flexing that. What nerve

Sir, can you tell me why you havent used the tfidfvectorizer instead?

My phone doesn't have that trending effect how can I get it

Master of smacking your lips when you speak 👌

Very Informative! Create more content like this.

Ramsri, this is amazing! I am currently on projects on GenAI. With this you give a very good idea on how to launch my own product in market! Thank you :)

Hallo Sir, can I Get your Contact phone. I want discuss and learn about Automatic distractor generation with syntagmatic relation on vocabulary question toefl with LLM.. I will thanksfull if your can help me. OR can i get your email? thankyou sir

Great vid sir ❤❤

Loved it

How to you manage your billing? How do you make sure the money you spend for the API's are recovered?

Thank you Ramsri sir

Could you help regarding this mask_color effect is not working Thanks main_clip = VideoFileClip("videos/19990812-uhd_2560_1440_30fps.mp4").subclip(0, 10) effect_clip = VideoFileClip("effects/production ID_4514642.mp4").subclip(0, 10) # Create a mask for the effect, removing the black background effect_clip = effect_clip.fx(vfx.mask_color, color=[0, 0, 0] ,thr=0, s=1) # Adjust opacity to 50% #effect_clip = effect_clip.set_opacity(.5) # Combine the clips composite_clip = CompositeVideoClip([main_clip, effect_clip.set_position(("center", "center"))])

super cool, well explained, thank you.

Where can I get this code?

Hi Ramsri, Could you provide slack link please.

Great efforts

Please share the code, if possible What is your opinion on learning NLP from scratch, like shown in this course, versus just using openai APIs

❤❤❤ Great work, is right to left language be use for examples and also audio/speech processing. ❤❤❤❤❤

Thanks your style and solution, both rocks. Json text, has excellent timings for each words. Can we convert to text, For example. Hi my name is RAM, comvet to Audio and merge to this video. Does this works?

You are the best ! Thank you.

Great video Ram. Do you deploy these as Google Cloud Functions? Is it possible?

great video thank you!

Love your videos super helpful and friendly

Nice, can we do the same for input to save loading all the embedding token weights?

I saved using model.save_preatrained(output_path) without lora and peft , only with base llm model. Still got the error. Anyways i tried the approach shown in the video for text classification wherein the output class is a combination of multiple tokens instead of a single token as shown in video. However , the output is always a single token which is the first token of the predicted class and not all the tokens that are part of that class even though max_new_parameters is 5 . Any reason for this behaviour?? @PracticalAIbyRamsri

I saved the changed architecture model in a folder and then tried loading from that folder for inference, i am getting error because of shape mismatch in base model and our latest model

Why to strip this, you can prompt the model to output this. However, great demo. Keep it up?

off topic: where do you generally deploy the finetuned AI model ? Is it on AWS or any other cloud service provider ?

Great video Anna, keep releasing the videos. Learned a lot about classification. Even GPT 4.0 is not very good with classification of neutral statements. But more often than not we would be very interested in only classifying negative or positive values which means those models can be trained in a single dimension.

Insightful

Thanks for making the video. But i have a doubt that how to make tokenization model with help of these encoding and decoding the sentence correctly ?

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emphasizes the session's value and encourages viewers to express gratitude. 🔗 The speaker's Twitter handle is provided for further inquiries.

anna, are you working on these ideas or you are suggesting the viewers these ideas?

Curious if you recommend Cursor over VSCode+Copilot, and if so why?

Thanks you. it's really helpful

anyone can tell me this: When I am using notebook in local or in aws, following command shows error command 1: !apt install imagemagick Error: W: Unable to read /etc/apt/sources.list.d/sdcss.list - open (13: Permission denied) E: Could not open lock file /var/lib/dpkg/lock-frontend - open (13: Permission denied) E: Unable to acquire the dpkg frontend lock (/var/lib/dpkg/lock-frontend), are you root? Command 2: !cat /etc/ImageMagick-6/policy.xml | sed 's/none/read,write/g'> /etc/ImageMagick-6/policy.xml Error: /bin/bash: /etc/ImageMagick-6/policy.xml: Permission denied cat: write error: Broken pipe but when I am using this on colab it executed succesfully. Can anyone explain this please. THis will be a great help.

Please is possible to use in local pc?

You rock!

This is incredible! Thank yoy

is segmind realvis api can be used for commercial use case

Hi! Great video!! Is there a word limit for the app?

Ramsri, this was very useful! Thanks for the Bubble - Huggingface api integration example!

How can i change my profile pic in ideogram

can you share the full code of MCQS generations?

Thank you so much for this content

Good work thanks. Is it possible to create the video transparent for using on another clip?