Krish, I have grown over the years , into a full fledged data scientist, handling and catering multiple use cases, mostly deriving the learnings from your channel, but even till today when I watch your videos, I am like dude “yeh bhi toh ho sakta tha, acha aise bhi ho sakta hai” 😅 Kudos to your teaching spirit and methodology.
Hi Krish, your updated langchain series is wonderful. However, will be of help if you could put all details in the video or provide associated links to ensure its completeness for all members. Eg. 1) How to get Lanchain_API_Key (shown at @3:02) 2) how to set up virtual environment 3) Links of your hugging face videos which you mentioned.
he siad evry thing will be taught, evn creating getting api and ecyerthing used will be open source. dont know why he dont stick to his words , in every playlist he do this yaki
Sir imagine the blessings and the good Karma you are accumulating this life sir ..tremendous blessing for all the good work you are doing by helping millions of people ...god bless you sir
Great tutorial as always, Krish sir! The explanations were clear, and I learned a lot. I did run into one issue initially, but after revisiting the steps, I realized I hadn't started the llama2 server. Once I did that, everything worked smoothly. Thanks for another helpful video!
Thanks Krish for these amazing videos. You break the concepts down so well. Please can you create a video on how to route multiple chains using LLMRouterChain. I can't wait to see the rest of the series. Thanks
Krish, I am watching this series and I have to say, you were extremely helpful compared other guides I watched for Langchain and AI apps. Thanks a lot for the contribution sir, keep making tutorials like this! I would like if you could make any tutorials specificaly on vector databases for ex. ChromaDB or MongoDB Vector Search. Much appreciated!
Thank You brother soo much. This is the first time I'm making a comment. I saw your ML one shot video which got me placed. I was trying hard and Thank you for knowledge and content. Now I'm in job still learning from you coach. Keep em coming
Sir , thanks for starting this series❤. Could you please create a video on RAG System using llama index , langchain, groq ,qdrant, open source llm It is very much needed thanks
Unbelievable video. Lets keep moving the cutting edge forward!!! I am excited to build llm based apps for my company and personal projects. I might have to upgrade to 128G of ram for dev time. Looks like I need a new tower, oops haha.
commenting even before watching the full video, coz i know its going to be good. Anyways will leave a feedback again at the end. Target 400 comments :P
That's quite the best tutorial. Will this Ollama work when we deploy the chatbot on Streamlit? Can you creat tutorial for creating chatbot working on RAG using Vectara?
Sir i hope you won't make these langchain videos into membership section.. for the aspiring students who can't afford to learn this is a gold content for them.. this is a kind request from my side sir❤..
I think I will stick with OpenAI. I got a 16GB RAM machine and running a simple prompt in OLLAMA took forever :-). From mu prospective, $10 in openAI is still a lot cheaper than high end machine ... for now at least.
Hey Krish, once again amazing tutorial. I had one query with respect to Open Source LLMs. Since Ollama supports some specific open source models only, what if I have a custom finetuned model on local machine then can it be used with llangchain
cool stuff as always, mr.naik .. the thing happening with my system with respect to llama 2 , im having a couple of calls captured in langsmith for llama2 that are still looping and the ones successfully executed have bigger latency .. is that normal? ... im using linux with 64 gb rams ....love the new series direction and im learning a lot on top of what i have already know from you... god bless
your explaining good but what is ollama what is llama initially your not explaining about the what is what and you were going fast confusing us to get more viewa
Support me by joining membership so that I can upload these kind of videos
th-cam.com/channels/NU_lfiiWBdtULKOw6X0Dig.htmljoin
sir i dont have subscription of openai so how can i make this project with free account
@@HustleWithShubham01 free version doesnt have API facility
Krish, I have grown over the years , into a full fledged data scientist, handling and catering multiple use cases, mostly deriving the learnings from your channel, but even till today when I watch your videos, I am like dude “yeh bhi toh ho sakta tha, acha aise bhi ho sakta hai” 😅
Kudos to your teaching spirit and methodology.
Hi Krish, your updated langchain series is wonderful. However, will be of help if you could put all details in the video or provide associated links to ensure its completeness for all members. Eg.
1) How to get Lanchain_API_Key (shown at @3:02)
2) how to set up virtual environment
3) Links of your hugging face videos which you mentioned.
he siad evry thing will be taught, evn creating getting api and ecyerthing used will be open source.
dont know why he dont stick to his words , in every playlist he do this yaki
Excited to follow the series. Its excellent that you keep in any hiccups so we too can see the common errors that come up and how to fix them.
Sir imagine the blessings and the good Karma you are accumulating this life sir ..tremendous blessing for all the good work you are doing by helping millions of people ...god bless you sir
Great tutorial as always, Krish sir! The explanations were clear, and I learned a lot. I did run into one issue initially, but after revisiting the steps, I realized I hadn't started the llama2 server. Once I did that, everything worked smoothly. Thanks for another helpful video!
Sir please upload daily one video and give assignment related to langchain what you explained...❤❤❤
Perfect way of learning 😊❤
Excited to follow this, Please make this for enterprise application toward the end.
I love the fact that you keep errors and everything raw! Keep up the great work Krish!
Thanks Krish for these amazing videos. You break the concepts down so well. Please can you create a video on how to route multiple chains using LLMRouterChain. I can't wait to see the rest of the series. Thanks
please create one video how to make a Q&A chatbot by using mutiple csv files. There are lot of videos by using pdf but no one made by using csv
Yes, also there is for 1 csv, but for multiple csvs its not working as it should....
I have also implemented single csv chatbot using PandasAI so multiple sounds like a fun and great idea, I think it can be done using templates too.
I have tried, but its not giving good results, if anybody gets any leads, lets connect
@@fkeb37e9w0 I am trying it too, let me know if you get any references or leads
Krish, I am watching this series and I have to say, you were extremely helpful compared other guides I watched for Langchain and AI apps. Thanks a lot for the contribution sir, keep making tutorials like this! I would like if you could make any tutorials specificaly on vector databases for ex. ChromaDB or MongoDB Vector Search. Much appreciated!
Thank You brother soo much. This is the first time I'm making a comment. I saw your ML one shot video which got me placed. I was trying hard and Thank you for knowledge and content. Now I'm in job still learning from you coach. Keep em coming
We will take most of this series ❤️
Thank you Krish. Your videos are just amazing.
Sir , thanks for starting this series❤.
Could you please create a video on RAG System using llama index , langchain, groq ,qdrant, open source llm
It is very much needed thanks
Unbelievable video. Lets keep moving the cutting edge forward!!! I am excited to build llm based apps for my company and personal projects. I might have to upgrade to 128G of ram for dev time. Looks like I need a new tower, oops haha.
Such a great start to this much needed course
You are doing really amazing work. Videos are very helpful. Thank you
Commenting because, it hasn't been 200 comments yet.
Nevertheless, Thank you for the series.
keep going on with this playlist, try making one for llama index, want videos on model fine tunings
Thanks for sharing such a wonderful series
I am excited to learn with this updated series 😌
Finally the series is here!
You are amazing mr.naik ...
Thank you Krish Naik
Excellent video, as always! Thank you.
commenting even before watching the full video, coz i know its going to be good. Anyways will leave a feedback again at the end. Target 400 comments :P
Only one word:Thanks❤
please include deployment part in this series.
That's quite the best tutorial. Will this Ollama work when we deploy the chatbot on Streamlit?
Can you creat tutorial for creating chatbot working on RAG using Vectara?
This was a good starting. Thank Krish
Awesome. Learning a ton here. Thanks for the effort you are putting in.
Thank you, Krish, for amazing videos.
Thanks for sharing this information
Man you are amazing! really appreciate your informative videos! Keep going man!
waiting for next video
Amazing ...Thanks for sharing this
Hoping you reach 200 comments soon :). Amazing content
Hi Krish, Loved the video.
One small problem, followed the video but no able to see the tracking in langsmith
Did you resolve??
Looking forward to this series!!
awesome video and explanation
thanks for this made my first LLM app
Sir i hope you won't make these langchain videos into membership section.. for the aspiring students who can't afford to learn this is a gold content for them.. this is a kind request from my side sir❤..
these videos will be for everyone :)
@@krishnaik06 ♥️
Amazing Series Krish. Thank you :)
Really love your videos Krish sir
very interesting sir!thank you for your efforts
I think I will stick with OpenAI. I got a 16GB RAM machine and running a simple prompt in OLLAMA took forever :-). From mu prospective, $10 in openAI is still a lot cheaper than high end machine ... for now at least.
You are god gift for us
Great Video! Waiting fir the next one
Absolutely very amazing!! Thanks for sharing this.
Hi Krish,
please make a video where i can upload any bank statement and do analysis from it using llm.
your content is good. I appreciate it
keep it up sir
Thanks Krish. Very Helpful.
Kindly make video on langchain deployment using langserve templates like rag-mongo template
Keep doing krish
Thanks for making this one @Krish :)
Hey Krish, once again amazing tutorial.
I had one query with respect to Open Source LLMs.
Since Ollama supports some specific open source models only, what if I have a custom finetuned model on local machine then can it be used with llangchain
good series. Keep up the good work.
Crazy good presentation
Thanks for creating these amazing materials!
Thank you sir
Excellent Krish!
Make more projects with llmops
Excited
Real thanks for all your efforts
Making sure for 200 comments!
Great playlist
Thanks so much Krish :)
I wish you can link all the videos you mentioned to not find this video very complicated
I love this,thank you brother
Awesome
HI Krish.. Thanks for your video. It helps a lot. Can you tell me how to generate langchain API key.
Hey Krish , possible to do one on invoice extraction using Ollama and LLAMA2. Thanks!
162: Really amazing
love this guy
Thanks
Good video
Awesome content Krish
cool stuff as always, mr.naik .. the thing happening with my system with respect to llama 2 , im having a couple of calls captured in langsmith for llama2 that are still looping and the ones successfully executed have bigger latency .. is that normal? ... im using linux with 64 gb rams ....love the new series direction and im learning a lot on top of what i have already know from you... god bless
GREAT..
Thank you !
comment done
How to build saas llm Website using private llm models
❤❤
Krish Naik how can I join membership?
This man is a life changer.
Great Video
Great stuff
Hyy sir ji
Good video. Thank you
thank you so much
Awesome !
Hi Krish...
Could you please tell how to deal with unstructured excel with LLMs?
those videos will also come :)
@@krishnaik06 Thanks👍
your explaining good but what is ollama what is llama initially your not explaining about the what is what and you were going fast confusing us to get more viewa
Hi krish
thanks krish
As always amazing video !!
Love from Pakistan