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Does a Phidata fine-tuned python agent app run on Vercel with a Nextjs app? I mean, is it compatible with JS on any deployment service?

Can these AI commands be limiting?

Great sir, Keep continue this series

Awesome video, thanks!

hey, this video was great, I just wanna know a few things from your experience. 1. How is Google's embedding model compared to Fast_Embedding or OpenAI. 2. Pinecone store vs Qudrant any difference? I suppose not. 3. Your chunk size is 2000 with 100 overlaps. How is this doing so far or have you lowered it in production to 80-20 ratio. 4. And please make a video on how to do context await chunking and how to use metadata and all to efficiently use vector db.

1:05:34 ... Thanks Bro... Not just your technical and AI skills are awesome.... you also rock as a presenter... and a tutor.... Keep up the good work... Wishing you a very very Happy New Year 2025... Rgds

Dude please give us something new, you did 99% what Kish naik did in previous turorial.

thanks sir make more such videos learn a lot

Can I deploy this llm via flutter??

Please do more detailed videos in MLFlow. I am interested to watch your videos on Databricks

can wew use this for my organization, (client) we have to parse pdf for client in data bricks cloud

Dai really love and appreciate your content, nepali ma pani banaunus na ekdam helpful hunxa hami jasto underprivileged harulai thank you

Why hindi audio track is not available 😢

Sir, great tutorial. I’m getting : I got - unauthorised api error, incorrect so I used Import os Os.env and input the api key Now I’m getting, Failed to call a function. Please adjust your print. See ‘failed generation’ for more details. If you can please help me out; that would be great. Thanks

What a beautiful video 😊

Which browser are you using arc?

Make some unique tutorials We already have this in Krish Naik Tutorials

Thank you so much for such an eloquent insight for multi-agents. Appreciate the simplicity and instructional approach for an effective delivery of a challenging subject.

Bro try to make more videos , its really interesting .

Helpful video! Thank you

bro what browser is that, it looks sick

you are amazing, your explanations are so so easy to understand, keep up the good work Thank you!!!!

could please tell , how to fetch job id and send it when failed to teams webhook notification

Hi sudarshan , could you please make video on fethcing job ID and sending notification for job failure to webhook teams

Great effort 🎉 . But we are excepting a end to end project with etl, using aws as cloud.

Not sure what's the point of all this sophistication if you are going to present it while using GPT-4o-mini!!! Your video title mentions "Open Source Alternative to ChatGPT" whats the 'opensource' aspect of what you're sharing here!!!? Just the UI?? So, what!? sSimple html/js can do the whole trick!!! You literally demonstrated an opensource app while using API connected to GPT-4o-mini!!! Why you didn't demonstrate the whole thing with some LLM models??

Thanks!

This series is terrific. A real treasure. Thanks,

Very excellent video. Thank you for sharing your experience.

Great video. I deployed this very same rag-app, but noticed it did not display😁 well on an mobile phone. Any thoughts? Beginner ove' here.

can you ask about a dataframe?

Very informative! Thanks for sharing

This looks great. It takes a lot of the right things from cargo, npm, and composer ecosystems.

I need to know this step can I install into the conda enviroment?

Thanks! It simplifies a lot of different commands for setting up a new project. I made a script for my environment but I'll consider uv for package maintenance.

But if i game now with one of those cloud gpus on, will it increase my fps.

Thanks sir. I have a question, is it possible to create a tool using GenAi which can ingest pdf documents of varying structure and then extract specific data dynamically and pass it as a context into LLM?

You explained something really important here. First that Llama2 model can do vector embeding RAG And you showed that nomic-embed-text can do the same RAG embeding, but nomic-embed-text it is alot better and it definetely it is alot faster. I mean the speed differance is insane!! Thank you for showing that.

Please create one detailed video on End to End machine Learning experiment with mlflow. This whole databricks playlist is superb :)

Thanks, all i ask is perfect table extraction with all the formatting and accuracy. what s my best bet?

I using community version of databricks , the Repo isnt available? any work around?

thank u

thank you

Can we make all commands into one shell script file as script.sh and ./script.sh, Like in Linux, here how can we run all at once?

Really you touch each small keen observations, Superb.....i expect much complex ETL pipeline projects, but not found in ur playlists.... please make projects

Thanks for the detailed explanation as a beginner it's so much helpful

buddy this video could have been 10 seconds. Jeeez

Keep going I will watch it many thanks

How to save the retriever and load data from it later?

Thanks.. Just one question. You have some videos showing diferent. techniques for. rag... What is the most stable and roubust way to build a very good. RAG with higt success rate, becuase i am seen. that there are too many videos out there all say that theri techniques are the best for good RAG.