Hello Sir, Can we create a chatbot using this method, that can suggest us relevant jobs from job portals on query and can also help us in carrier guidance.
@siddharthtyagi125423 сағат бұрын
sir please share this notebook link, th eone in description is different
@hamidraza1584Күн бұрын
Amazing guy and amazing guy , love😢 from Lahore Pakistan
@siddharthtyagi1254Күн бұрын
sir please update the notbook link
@sanketsaurabh5881Күн бұрын
sir after completing generative ai completely will you please cover all the mlops tools
@PhotoshoppersStopКүн бұрын
Plz make similar playlist on Langgraph.... Thanks as always 🤩😇
@aryan.2763Күн бұрын
Thank you sir❤
@aanchalgupta3652 күн бұрын
Please make a video on LLMops .
@sachinguptaitm2 күн бұрын
Welcome back and congratulations, brother, on your new job at PWC. Thanks for your continuous contribution to the generative AI community. I have been following Krish and Ineuron for the past three years, and now you for the past six months. Keep growing and sharing.
@vinaykumar-xh5pi3 күн бұрын
The most underrated channel bro .... thanks for the info provided
@maghutesanm53613 күн бұрын
mass na ne
@arpanmaiti78233 күн бұрын
can this be implemented for structured data(csv,excel)?
@jhutanda4 күн бұрын
Good explaination. Thank you.
@sanjuketha59404 күн бұрын
Liking ur videos
@user-fv8zt5uo4i5 күн бұрын
great sunny sir
@fozantalat45096 күн бұрын
Hi Sunny, I'm from Pakistan and I really liked your RAG videos , can you please make a video of comparison of different retrievers in terms of Cost, Accuracy and speed. Thanks in advance :)
@Aditya-b4r7 күн бұрын
sir unable to find file of this video in note book link, in folder 'Google Gemini API with Python' only file of part 2 is available, please reply.... and thankyou
@Aditya-b4r6 күн бұрын
sir please reply
@shailendralowanshi10168 күн бұрын
Hello Sunny, Your video is very helpful and informative. Make videos on AI agents, Langsmith, LangGraph etc and explore more on variety of topics in LLM. You have created more than 40 videos on RAG, now if you will explore more other topics than RAG it will be very helpful
@sunnysavita108 күн бұрын
soon video will be out dont worry it is in my to do but not gettng enough time to record
@hamidraza15848 күн бұрын
Well done sunny , also prepare a video on knowledge graph rag pipe lines with neo4j. Love from Lahore Pakistan
@sunnysavita108 күн бұрын
already out check the playlist
@rakeshkumarrout26299 күн бұрын
Hi bhai congratulations for youe new job at PWC as ML and GenAI engineer.I am hopeful you will continue serving us this kind of awsome content.Thank you
@sunnysavita109 күн бұрын
Yes, sure
@VthePeople41569 күн бұрын
Hi bhai waiting course on GenAi on all Cloud with 5 projects
@sunnysavita109 күн бұрын
Yes, soon
@sabinachellan9 күн бұрын
Hi sunny, Could you please make a video on where and how do you get to know the advance rag content and how do you stay updated?
@MadhuriChandanbatwe9 күн бұрын
Hey can you please provide the notes on github link???
@MH-xx6df9 күн бұрын
Great tutorial mate. Apart from Y files, how else can the graph visualization be shown in Jupyter, or an app like streamlit, inline?
@infinityseekers10 күн бұрын
Can we call this A Graph RAG
@akshchaudhary54444 күн бұрын
yes
@MrQuicast10 күн бұрын
thanks
@gabrielesekie156810 күн бұрын
Those pdfs you used for the lectures where not provided as stated. Only multimodalrag.pdf which is not useful
@gabrielesekie156810 күн бұрын
Those pdfs you used for the lectures where not provided as stated. Only multimodalrag.pdf which is not useful
@jasdeepmalhotra45211 күн бұрын
Hi sunny !!. THANKS for informative video. I am using LLM on chat conversation history to find analysis of sales. please suggest some techniques.because RAG is not working if i want to do some analytics on chat history
@sachinborgave809411 күн бұрын
Nice, Sunny !!! Can you please create a Evaluation matrics using LLM and how we can monitor?
@Peka-e5y11 күн бұрын
Great Video sir Thank you
@snipEr75411 күн бұрын
please share the notes , it will very helpful for us
@snipEr75411 күн бұрын
this playlist video notes is not found
@hamidraza158411 күн бұрын
Sir amazing video , love from Lahore Pakistan
@srinikethanveena275211 күн бұрын
How to use this ollama in windows through collab
@JeetKhanpara12 күн бұрын
content is great the notes you have provided can't be downloaded from the source. can you please help regarding this?
@sameerranjan855713 күн бұрын
Hey, is there any paid course you have where you completed everything end to end in detail?
@mohammad-xy9ow12 күн бұрын
Kya yha end to end detail m nhi h?
@sameerranjan855712 күн бұрын
@@mohammad-xy9ow yes it is, but I'm asking for a complete genai course
@hamidraza158413 күн бұрын
Well done sunny , your videos are amazing , love from Lahore Pakistan
@sunnysavita1013 күн бұрын
thankyou keep watching
@Mr_Sniper513 күн бұрын
Hi sir can you make industry level project
@sunnysavita1013 күн бұрын
soon will be uplaoded
@sobz4u21413 күн бұрын
1 doubt .. When we use Liama index API or any LLM model apis for RAG application by connecting our own data , how much data security and privacy of our own data ? Even though , our own data is using for retrieval purposes, but in case of multiple queries which will be using by liama index, data privacy risk can be happen..rit?
@namanupadhye387113 күн бұрын
👍
@arpitcruz13 күн бұрын
Nice
@wtcbretburstjk372614 күн бұрын
Hello sir Savita, why do you never use "RecursiveCharacterTextSplitter" for chunking your data ? Is there any reason for that ?
@csean-ek7dw15 күн бұрын
yes we want that course from basic to advance
@ParamaguruHarimurugan15 күн бұрын
sir I couldn't call my api key it is showing not available only sir please help me with this sir
@Mr_Sniper515 күн бұрын
Hi sir can you make small llm project using pinecone update version end to end please sir 🙏🏼
@himansu97915 күн бұрын
Appreciate your effort explaining the concepts. I need to read many .docx files. Is this something can be done using Langchain library?
@user-jv8jq3zv7d15 күн бұрын
amazing, I am starting this
@SantK120816 күн бұрын
Sir , keep coming with small updates also sir. We wait for your video eagerly