Lets keep the target of the likes to 2000. Also dont forget to subscribe his YT channel.
@ajitkumarsingh14 ай бұрын
Hi sir, I want to create an AI power chat application which will query with MS SQL server database. Is this possible to implement using free ai models? Plz make a video for this. Don't want to download models on local system also.plz make a video like this also if feasible.
@biswajeetjena9774 ай бұрын
1 like added
@neerajshrivastava56003 ай бұрын
This is a high quality content, I have been working on Azure AI from last few months, I can say you covered all key features very well
@AjinJoseph72 ай бұрын
This is amazing content. A vast amount of knowledge is shared in just 3 hours. The knowledge I gained in this video will elevate my professional career.
@КравчукІгор-т2э11 күн бұрын
Thank you! As always everything is interesting and clear! From the bottom of my heart I wish you success and prosperity!
@yumyum38764 ай бұрын
He should be awarded Bharat Ratna for his outstanding contribution to AI learning in India
@yogeshyts4 ай бұрын
PM bna dena chahiye
@yumyum38764 ай бұрын
@@yogeshyts that works too
@ashwinkumarh24223 ай бұрын
Worth the time... A good course covering overall most of the concepts...
@teehueyyi8832 ай бұрын
super nice and detail tutorial guide that found in youtube!!! finally i can usderstand where to get the API key and end point URL and a lot of anwsers for my questions for deploying genarative AI👍👍👍👍. Thanks you so much!!
@jaychauhan29334 ай бұрын
Hi Krish, Thank you so much for sharing your knowledge through your videos. They have been incredibly helpful in my learning journey. I appreciate all the effort you put into them. I have a few questions that I believe will also benefit the community: Best Practices for Deployment: What are the best practices for deploying an open-source LLM (Large Language Model) to handle multiple requests from different users simultaneously? Handling Multiple Requests: How can I deploy an open-source LLM to efficiently handle many requests from different users at the same time? Reducing Response Time: What strategies can I use to reduce the response time of the deployed LLM? Accuracy with RAG Implementation: How can I check the accuracy of an LLM model when using Retrieval-Augmented Generation (RAG) implementation? Creating Instruction-Response Pairs: How can I convert raw text into instruction and response pairs for fine-tuning models like Mistral, LLaMA, or any other open-source model? I believe a video addressing these questions and providing solutions would be very helpful for the community. Thank you once again for your support and guidance. Best regards, Jay
@mallikrao56623 ай бұрын
1.Best Practices for Deployment: Deploying a Large Language Model (LLM) in a production environment to handle multiple requests simultaneously requires careful planning. Here are some best practices: Load Balancing: Use a load balancer to distribute incoming requests across multiple instances of your model. This can help ensure that no single instance becomes a bottleneck. Scaling: Use auto-scaling to automatically adjust the number of model instances based on the load. This can help ensure that you have enough capacity to handle peaks in demand, while not wasting resources during quieter periods. Monitoring and Logging: Implement comprehensive monitoring and logging to track the performance of your model and to quickly identify and resolve any issues. 2.Handling Multiple Requests: To handle multiple requests efficiently, consider using asynchronous processing or queuing systems. This allows your service to accept a request, place it in a queue, and then process it when resources are available, rather than forcing each request to wait for the previous one to complete. 3.Reducing Response Time: To reduce response time, consider the following strategies: Optimization: Optimize your model for inference. This could involve techniques like quantization, pruning, or using a more efficient implementation of the model. Caching: Implement caching for common requests. If you notice that certain requests are made frequently, you can store the results in a cache and return them immediately on subsequent requests. 4.Accuracy with RAG Implementation: To check the accuracy of an LLM model when using Retrieval-Augmented Generation (RAG), you can use a validation set of data. Run the model on the validation data and compare the model's outputs to the actual outputs. You can then calculate accuracy metrics based on this comparison. 5.Creating Instruction-Response Pairs: To convert raw text into instruction and response pairs for fine-tuning models, you can use a script that processes the raw text and splits it into pairs. The specifics of this will depend on the format of your raw text and the requirements of the model you're using. Typically, you would use a natural language processing (NLP) library like NLTK or SpaCy to help with this.
@maheshbhosale330622 күн бұрын
Thank you sunny and krish
@EhsanIrshad3 күн бұрын
Bht alaw...
@sachin-sachdeva2 ай бұрын
Very nice detailed session with great explanation.
@ehtishamraza26232 ай бұрын
A perfect course which covered everything
@kunallahiri4 ай бұрын
Can we use azure for free ? just for the purpose of project development for a better resume. Please guide me if possible,I am a big fan of Krish's channel and his immnese contribution.thnks from thr core of my heart for teaching us ❤
@i-code80004 ай бұрын
This is what I looking for for a long time. Thank you guys
@aliensamv39974 ай бұрын
really ... me too
@regilearn21384 ай бұрын
Hi Krish, I am a MERN full stack developer, from where what should i learn to become a fullstack AI developer to match with job market.
@suvadipdutta32814 ай бұрын
First comment ..🎉 great work sunny Savita
@arthurkatz80354 ай бұрын
Thanks Sunny and Krish =)
@AbdulWahab-ld7cc2 ай бұрын
Great Work...Thank you so much for providing such a worthy content..
@ehtishamraza26232 ай бұрын
Thank you for this amazing resource
@sajjadrahman2564 ай бұрын
Who's target is complete within 3 days, hit like and share thoughts. I am learning
@Momentum_Option_Buyer4 ай бұрын
I am listening in one go and reiterate again topic by topic
@AnushreeDarshane-l5m3 ай бұрын
Thank you for detail session, covered all the points. Can you please also provide session on Copilot it will be really helpful.
@shahrulamin55284 ай бұрын
❤ from Malaysia!!!! , never stop learning and always Day1
@Ndbdbbdbdbh4 ай бұрын
needed this for a project
@crazydude83334 ай бұрын
Maximum log kya Sikh rahe hai currently development or AI ML ? Job kisme better hoga in future aspects
@arundhatimishra88512 ай бұрын
What are the differences in approaches between creating a custom chatbot using a shoes PDF file and later applying a RAG architecture with the same document? Specifically, how are the document chunks stored in Azure Blob? Are they first converted into embedded and then stored? If a vector database isn’t used, how is the information retrieved? Could you please clarify these questions.
@shaikansari6882Ай бұрын
Blob storage is to store your pdf file as a blob object in azure. Then this file will be read by azure service and it will divide the entire content present in the file as small chunks and then these chunks will be converted into embeddings and that will be stored in a database. That database is nothing but index which you are creating and to search the database you need a search capabilities right... That's called as Azure AI search service.
@AkshatAgarwalproАй бұрын
@53:57 when the dark lights takes over xD
@YouHaveToLoveMe26 күн бұрын
It was scary
@Naentrikakudapikalev4 ай бұрын
Thanks krish , It helps us a lot :)
@anshulsharma79504 ай бұрын
On point Knowledge ❤
@supriyoroybanerjee62193 ай бұрын
Amazing
@JOYEES19793 ай бұрын
Brilliant
@moediakite8954 ай бұрын
Liking the session🤙
@Momentum_Option_Buyer4 ай бұрын
I see you are first cerating a model via GUI and then coding to call them via api? Do we have to create a model first via GUI? I am thinking how to create infra and deploy automatically from one environment to another via scripts with nothing manual from the GUI?
@Gamezone-kq5sxАй бұрын
Please make video on Generative AI With Google Cloud Open AI Services Crash Course.Waiting
@Teach_only_technology________4 ай бұрын
Thanks for the help
@jayantisingh15344 ай бұрын
Good work ❤
@ashishpathak53943 ай бұрын
it shows that we can register with company ebsite or something when filling form to request acess to azure Open Ai service,
@rakeshpanigrahi5774 ай бұрын
OMG, so cool, Thanks a lot :)
@Momentum_Option_Buyer4 ай бұрын
Are you planning to upload Azure Gen AI created by you. You said you are going to work in parallel with AWS.
@datatalkswithchandranshu20284 ай бұрын
We need more courses where we are integrqting open source llm models in hf/colab.
@krishnaik064 ай бұрын
Already on the track to upload the videos
@morrazzo44323 ай бұрын
Sir, can I apply for AI 900 certification after this course?
@Momentum_Option_Buyer4 ай бұрын
2:17:33 Azure AI studio is a framework like langchain?
@victorakakpo82994 ай бұрын
Hey am here too!
@ManishThread14 ай бұрын
How much is subscription cost for using Azure OpenAI in (INR) ?
@jatinsaini77733 ай бұрын
Can we give images as an input from the user to this chatbot???
@jaeen76653 ай бұрын
Not bad thus far.
@Momentum_Option_Buyer4 ай бұрын
Thank you I requested.
@shreyaschhetri94344 ай бұрын
Sir asking you to create a video on Guardrails using Guardrails AI and Nemo Guardrails using Mistral or Llamma models
@ManafMukred4 ай бұрын
what should i do if i don't have a private email? I can't create MS Azure OpenAI :(
@nptel1punith9294 ай бұрын
it is asking for a company mail addresss for creating Azure open AI account , students cant have it , is there any other way sir?
@ajay09094 ай бұрын
Azure Open AI has restricted their access, I am not getting any access with my regular Azure account.
@adyt9494Ай бұрын
Shoes pdf not uploaded please
@crazydude83334 ай бұрын
Fresher ko generative ai me job mil rahe hai?
@anushrikadam86504 ай бұрын
Can you do one on Gcp ?
@sunnysavita104 ай бұрын
will be uploaded soon.
@skplk92214 ай бұрын
Please Sir Hindi ki playlist bhi bna do
@badrinarayanans355Ай бұрын
1:06:54
@KumR2 ай бұрын
2.30
@rishiraj25484 ай бұрын
🙏💯👍
@Momentum_Option_Buyer4 ай бұрын
2:34:17 and 2:36:13 - Where is it storing vectors or embeddings? Cosmos DB? There is no reference of Cosmos DB in RAG application built in this video?
@sunnysavita104 ай бұрын
we are using Azure Blob Storage it gives the capability of vector search
@Momentum_Option_Buyer4 ай бұрын
@@sunnysavita10 Thanks. Is it using Integrated Vectorization?
@sunnysavita104 ай бұрын
@@Momentum_Option_Buyer yup
@PriyankaPanchal-k2o4 ай бұрын
Good job . Howevr, its too lengthy and I felt lil bit the trainer was over acting and dragging... make It small nuggets so that it will be more interesting and to the point. It took just 5 mins for me to get the bigpicture from here ..kzbin.info/www/bejne/aYS1mWWkr7Nleq8 . No offense its my view point
@anshumansinha58744 ай бұрын
Why do you post a cringe face on a thumbnail; is it just to annoy people? I just clicked on the video to say this.