Dear Kris, You are amazing and your sessions are very good. Thanks for all the pains you take for such resourceful teaching. Keep up the good work and May God Bless you.
Dear Krish Naik, You are making a very amazing informative video (especially an end-to-end project) with a very simple and easy-to-understand explanation. Thanks for all the videos; it's really very easy for developers and learners to implement in their own use cases. God bless you.
Krish sir its a request from my side, please please upload videos in order and mention serial number as well in every video,.Also put the video in respective playlist. I started my data science journey with your videos, I got job because of your clear explanation, I genuinely thank you. But now a days your channel seemss very confusing because you're uploading random videos of generative AI topic, its already tough for us, explain in clear and serialised way so that we all can learn through it.. This particular video again has no serial number, now it is creating confusion when to watch it. Specially for the ones who watches late due to office timings.
Your code only matches the headlines of the passage and retrieves answers from the heading questions. Have you tried it with questions inside the passage? It will not work well, as you showed in the video.
Tried multiple things to learn gen Ai but never get that much clear workflow , what are step by step process to build genaI application . langchain has made things sp much easy but more importantly kirsih Naik explain it , it really deserve apprciation
Hello Krish I am pleased with your work as you are doing for the community. If you can make a video to use LLM to get data from the database SQL/no SQL
Hi. @Krish, Awesome videos. Is this running completely off line or is there some on line API Usage you are using. and is that paid? I like the response times. Also if OFF line are you using GPU's or just CPU?
I have a question regarding the embedding, we agreed long time ago as per your instructions that the embedding should be implemented using the same as the the LLM used for prompting. will it be a problem here that we used in this video openAI embedding with Lama3 prompting?
How the app will handle the requests,if multiple users working parallelyy,eg: If A is asking question related to politics,if B is asking the questions related to sports parallelly, how the app handles this situation:) Your suggestions would be helpfull
hello sir im a student and just passed 12 and wanted a favour to make a video for students who just want to get into the data science field and what they should take care of and prepare well i have watched your roadmap video too and wanted this favour too from you .. Hope you doing well
Another issue: let's supose the App is used by several users, or companies. How can I charge each user who is consuming different values from the key? Or will each user have their own apiKey?
Hii Krish Sir, As you are my sole mentor i am urging you to give some idea about Phi-3 by Microsoft (SLM-small language model). I am working on Document QnA for Banks. So will it work?
Hi krish anna Can make a video using llama3 8b model with llama-index and chat engine because I need the ai is capable to document retrieval and general interactions. Is this capable to do
keep getting this error "ValueError: Error raised by inference API HTTP code: 404, {"error":"model 'llama2' not found, try pulling it first") " i have checked api key from groq but its not working. Need HELP!!
Hi Krish i keep getting the following error after clicking the "Documents Embedding" button. AttributeError: module 'streamlit' has no attribute 'session_state_embeddings' Traceback: File "C:\Users\HP\anaconda3\Lib\site-packages\streamlit untime\scriptrunner\script_runner.py", line 542, in _run_script exec(code, module.__dict__) File "C:\Users\HP\Desktop\myapp-New\RAG-\app.py", line 48, in vector_embedding() File "C:\Users\HP\Desktop\myapp-New\RAG-\app.py", line 43, in vector_embedding st.session_state.vectors=FAISS.from_documents(st.session_state.final_documents,st.session_state_embeddings) How do i resolve it?
Hey this is really impressive.how can I get some good greetings response from the rag bot ? Like "hi my name is [company name] and I am your assistant.kindly guide?
Got error index = faiss.IndexFlatL2(len(embeddings[0])) ~~~~~~~~~~^^^ IndexError: list index out of range try to solve it please. even I have used one pdf in the directory
Is anyone facing ValueError: Error raised by inference endpoint: HTTPConnectionPool(host='localhost', port=11434): Max retries exceeded with url: /api/embeddings (Caused by NewConnectionError(': Failed to establish a new connection: [WinError 10061] No connection could be made because the target machine actively refused it')) issue, if yes please provide solution
Every video created by is best and very insightful, practical and as per the requirement of industry use cases. Thanks a lot Krish and all the best.
Dear Kris,
You are amazing and your sessions are very good.
Thanks for all the pains you take for such resourceful teaching.
Keep up the good work and May God Bless you.
is the code working?
Like your teaching style. Straight to the point and very clear. Thanks.
Dear Krish Naik, You are making a very amazing informative video (especially an end-to-end project) with a very simple and easy-to-understand explanation.
Thanks for all the videos; it's really very easy for developers and learners to implement in their own use cases.
God bless you.
is the code working?
Many thanks Krish for helping us in AI/ML journey.
Had yo pause midway to like this video. Already purchased the langchain udemy course and im hoping to learn as much as i can from you sir
Krish sir its a request from my side, please please upload videos in order and mention serial number as well in every video,.Also put the video in respective playlist.
I started my data science journey with your videos, I got job because of your clear explanation, I genuinely thank you.
But now a days your channel seemss very confusing because you're uploading random videos of generative AI topic, its already tough for us, explain in clear and serialised way so that we all can learn through it..
This particular video again has no serial number, now it is creating confusion when to watch it. Specially for the ones who watches late due to office timings.
Your videos are fantastic and very educational! Glad to support you in every way I can!
commented and liked only because you asked (and we want more of this!). Good work Krish!
Thanks Krish for educating us in such a structured way
hey Krish you are awsome, the method to explain concepts you come up with is amazing.
Thanks sir god bless you. Please keep on making those videos. They are really informative
Liked and commented, sir. Keep enriching us.
Thanks Krish, you deserve a million like 👍👍👍
your videos helps me in my genAI projects.. thanks kkrish..
paused this gem of a vdo because u asked to like and comment.
Thank you so much. This series is amazing.
Thank you so much, Krish bhaiya!
Really amazing video, thanks for giving this great session
Hi Krish, your videos are Very Helpful.
Nice tutorial 🎉
Plz make more video tutorials for genai projects using llama3
Your code only matches the headlines of the passage and retrieves answers from the heading questions. Have you tried it with questions inside the passage? It will not work well, as you showed in the video.
This is helpful. Thank you very much
Tried multiple things to learn gen Ai but never get that much clear workflow , what are step by step process to build genaI application . langchain has made things sp much easy but more importantly kirsih Naik explain it , it really deserve apprciation
like your content. I am learning a lot from you. Thanks!
Nice video.. would be helpful if we design application to retrieve records from SQL database with natural language using open-source LLM like Llama
Very good idea!
great work as always thanks for all the information !!!
Hello Krish
I am pleased with your work as you are doing for the community.
If you can make a video to use LLM to get data from the database SQL/no SQL
Awesome session.
Best GenAI teacher!
Thank you for your video! Are you planning to create a video about fine tuning of a multimodal open source model?
Can we get a video on using Agents and tools with open source?
please.
Thank you for this wonderful video
Thanks for all the great content
Amazing GenAi Series ❤
Krish can you please show us how to save chat in a DB as well like mysql where we save the Q, A, time, and date? That would be very helpful
Hi. @Krish, Awesome videos. Is this running completely off line or is there some on line API Usage you are using. and is that paid? I like the response times. Also if OFF line are you using GPU's or just CPU?
I have a question regarding the embedding, we agreed long time ago as per your instructions that the embedding should be implemented using the same as the the LLM used for prompting. will it be a problem here that we used in this video openAI embedding with Lama3 prompting?
Liked your series.
Thank you sir
Thanks for this Krish
Amazing work Krish
Loved this.. But can we pass in a PDF to streamlit instead of picking all files in folder ? Also is GroQ like hugging face?
Should we create embedding for new data every time before query. If so how does graq inference helpful?
How the app will handle the requests,if multiple users working parallelyy,eg: If A is asking question related to politics,if B is asking the questions related to sports parallelly, how the app handles this situation:) Your suggestions would be helpfull
Try implement one end to end project using Gemini medical llm
hey Krish Thankss Bhai,,..
Hey krish bro, Is the groq completely free or there is any subscription or hidden charges?
Thank you!
could you do a video for using multiple pdfs and csv tables as base data for the llm?
and how such a model could be deployed for intra dept purposes
Yap,a comment for u,oho sorry not comment a complement,such a gem u are in ai
Nice video sir👍
Thanks Krish
Thanks Sir!!!
Hi Krish - Please make some videos on LLM model evaluation. One ardent request
hello sir im a student and just passed 12 and wanted a favour to make a video for students who just want to get into the data science field and what they should take care of and prepare well i have watched your roadmap video too and wanted this favour too from you .. Hope you doing well
Can we use this same approach with csv files instead if pdfs ?
Does it send data to Groq or Openai or is it completely private and local?
Based on user question, Can I look for it in specific pdf , is there such operation?
Is it possible to search with image and extract response from the document using GenAI?
Please make complete LLM tutorial
Thank you
Amazing
Another issue: let's supose the App is used by several users, or companies. How can I charge each user who is consuming different values from the key? Or will each user have their own apiKey?
gr8 video
Hii Krish Sir, As you are my sole mentor i am urging you to give some idea about Phi-3 by Microsoft (SLM-small language model). I am working on Document QnA for Banks. So will it work?
Hello Krish! Could you please make a video on deploying GEMINI-PRO-VISION app as API using fastAPI.
Hello Krish, can you fix your previous video 8 in the langchain playlist, it is frozen after 12.00.
good effort bro..
Sir,
Please create a playlist a Data science interview Questions updated. It's been too long to create a interview Questions video...
Hi krish anna
Can make a video using llama3 8b model with llama-index and chat engine because I need the ai is capable to document retrieval and general interactions. Is this capable to do
Can we use llamaEmbedding instead OPENAIEMBEDDING? OPENAI charges to generate embedding rigth?
U got it ??? Can we use the llamaembding
thanks ❤
Insightful thanks
keep getting this error "ValueError: Error raised by inference API HTTP code: 404, {"error":"model 'llama2' not found, try pulling it first") " i have checked api key from groq but its not working. Need HELP!!
i working on excel dataset how can i do this using same way
please suggest me approach.
Hi Krish i keep getting the following error after clicking the "Documents Embedding" button.
AttributeError: module 'streamlit' has no attribute 'session_state_embeddings'
Traceback:
File "C:\Users\HP\anaconda3\Lib\site-packages\streamlit
untime\scriptrunner\script_runner.py", line 542, in _run_script
exec(code, module.__dict__)
File "C:\Users\HP\Desktop\myapp-New\RAG-\app.py", line 48, in
vector_embedding()
File "C:\Users\HP\Desktop\myapp-New\RAG-\app.py", line 43, in vector_embedding
st.session_state.vectors=FAISS.from_documents(st.session_state.final_documents,st.session_state_embeddings)
How do i resolve it?
Is there any open source model to write unit tests?
Amazing!
🙂👍🙏
if we are using Groq api why we need openAl why we need two keys
Commenting even tho i'm lazy
Hey this is really impressive.how can I get some good greetings response from the rag bot ? Like "hi my name is [company name] and I am your assistant.kindly guide?
Great vão, but I looking for a solution completely free. I didn't get why you had tô call openAI. Could someone explain it please?
can you do this for a csv file as well please
Gold
Can somebody explain me why krish defined second prompt
For the search input
@@krishnaik06 oh thank you Krish ! The master himself!
559
half done
first 🥇
requirements.txt ?
index = faiss.IndexFlatL2(len(embeddings[0]))
IndexError: list index out of range
Anyone help on this issue?
same issue, have you got any solution
where the pdf documents?
Got error
index = faiss.IndexFlatL2(len(embeddings[0]))
~~~~~~~~~~^^^
IndexError: list index out of range
try to solve it please. even I have used one pdf in the directory
any solutions you got?
hahahaha
.
Cbfr
Is anyone facing
ValueError: Error raised by inference endpoint: HTTPConnectionPool(host='localhost', port=11434): Max retries exceeded with url: /api/embeddings (Caused by NewConnectionError(': Failed to establish a new connection: [WinError 10061] No connection could be made because the target machine actively refused it'))
issue, if yes please provide solution
Good Series Love this series
Hello Krish! Could you please make a video on deploying GEMINI-PRO-VISION app as API using fastAPI.
Hello Krish! Could you please make a video on deploying GEMINI-PRO-VISION app as API using fastAPI.