Respected Dhaval Sir, This is one of the best training content i have seen. Your efforts (especially the Hindi courses) are accelerating India's pace to become a developed nation. Hats off to your Enthusiasm, and Commitment.
I am adding more videos in this langchain series (including end to end industry projects). Check this playlist: ruclips.net/p/PLeo1K3hjS3uu0N_0W6giDXzZIcB07Ng_F
So, to be honest its one of the best video on llm i have came across . even with little or no knowledge of nlp or dl i have understood the topic explained by u.. thnk u so much Dhaval sir for making these helpful videos that too free of cost
Thanks so much for this. I've made an updated version following along this course and also tried using an alternative framework (Gradio) for the front end app.
Very helpful. I especially appreciated seeing the details and use cases you showed and explained. I am new to these concepts, so having you explain the basics is invaluable. For example, one of my favorite sections was understanding the concept of how LLMs combine “reasoning” and “knowledge.” And, having you then walk through the actual examples is what makes this video one of the best I have watched. Thanks so much!
Sir you are my hero thank u so much I have improved a lot in deep learning and you are one of the reasons I trully don't know how to thank u, you are literally a legend
I've spent two days poring over the langchain docs without much clarity. However, your video provided the insights I was seeking and greatly enhanced my understanding. Thank you for the invaluable content!
Best tutorial about building apps using AI models I have found on RUclips!! I'm looking for a framework/tools that allow me to build my own specialized model and Langchain is probably the tool I need. There are still a lot of questions to answer, I wonder if I could use the Google AI API instead of the ChatGPT?? or how I could include my own knowledge and reasoning ?? I hope I can find the answers in your videos. Thank you very much for your work!!!
I ve been searching for a good intro video that explains langchain and explains why it matters with examples, I really appreciated your explanation, thank you for spending time to organize all this work for free.
Hi Dhaval Sir, The more i see your videos the more i like the way you teach. You make so easy to understand. And yes as you say i will not only see your videos but also do practice with it. Thank you vey much
Thank you so much. I am a bloody beginner, love your content. Do you perhaps have a beginner tutorial, that would show step by step a way to connect OpenAI with a mySql database. And feed that database with your personal data, thoughts, believes, favorite food, etc. perhaps with some categories, etc. It would be super interesting to learn how to feed and setup the Database with personal information and then connect it with the open AI LLM. Thank you so much, love your content! Keep rocking! 🙏🙏🙏
I recently made end to end video on LLM interacting with sql database. Please check the last few videos on my channel. It has a title LLM project for retail industry
I have been watching the your video last 4 years. All python and ML tutorial are great and comprehensive. Make video on How to create custom autonomous angent using Langchai like SalesGPT. Please kindly do the needful
Thank you sir, I saw Gen AI video it's very good because I am looking to work on AI but when I saw too much learning curve before creating any application than that things demotivate to me but your this video very good now I can start to work on AI .. THANKU SIR
Excellent tutorial! You sir were born to be an educator. I have watched a few tutorials on this topic. IMO this ~45m video trumps all of them. Thank you.
This is a great tutorial for someone new to ai and llms and need some initial steps I got a great base to start from !! Can you please tell how does langchain decides agents for the model. and willl the agents work for different llms ?
Your video is awesome. direct code and simple practical oriented approach. i am a novice in ai. but iam able to understand clearly. god bless u for giving these valuable videos free. i got the confidence that this is the tool for me and i can be become a ai engineer by practice( a lot). can i have a course from u for a cost and any help when i struck up. i want to teach others these topics .
Thank you so much for such a deep insight ....while i was trying this...found LLMChain is deperecated...Could you please make a video on how to use New Approach for chaining...my apology if its a very basic question...just started my journey on GenAI from your content..Thanks again.
Excellent. You made it so simple and that's the key. Please continue the same style. Can you help me use langchain to extract match and compare data elements in two pdf files?
probably the best video i've seen on langchain you presented this booming topic in a very easy and understanding way....Thankyou so much dude you just gained one sub! ❤
It was really wonderful, detailed, and I'm thankful for this. I'd like to understand how could we handle rate limit, as in more frequent requests start giving errors like 'Too many requests' or RateLimitError. Please let me know any advices or suggestions!
Bro you have explained it very well. Shared this video with my friends also they are also liking it . That Restaurant example can relate it to zomato / swiggy. Keep it up.
Very Informative Session , I code along with you and learned a lot about langchain and LLM . bring more videos on how to connect with databases, other data sources so it can be more beneficial.
This video is wonderful sir and give more knowledge. i have one query: The LLM buffer can be used as edge computing ? Why because in driverless car if we are using edge computing then we get low latency for getting response
As usual a great tutorial sir 👍 . Eagerly waiting for your data science paid course sir. It would be really helpful if you could let us know when you are going to launch the paid course for date science ❤❤❤
This is the result I get for GDP: > Entering new AgentExecutor chain... I need to find the GDP of the US in 2022 and then add 5 to it. Action: Search Action Input: What was the GDP of US in 2022? Observation: $25.46 trillion Thought: Now I need to add 5 to the GDP amount. Action: Calculator Action Input: 25460000000000 + 5 Observation: Answer: 25460000000005 Thought:I now know the final answer. Final Answer: The GDP of the US in 2022 plus 5 was $25,460,000,000,005. > Finished chain. 'The GDP of the US in 2022 plus 5 was $25,460,000,000,005.'
Dear Sir Can you explain to us on "mask language model " and custom data on LLM so that we can create our own corpus in regional languages. thank you in advance
Check out our premium machine learning course with 2 Industry projects: codebasics.io/courses/machine-learning-for-data-science-beginners-to-advanced
How to do hugging face setup, do i need to just change OpenAI to Hugging face and model name to huggingface mode name? 😊
Respected Dhaval Sir, This is one of the best training content i have seen. Your efforts (especially the Hindi courses) are accelerating India's pace to become a developed nation. Hats off to your Enthusiasm, and Commitment.
I am adding more videos in this langchain series (including end to end industry projects). Check this playlist: ruclips.net/p/PLeo1K3hjS3uu0N_0W6giDXzZIcB07Ng_F
I've been watching tutorials from past 10 months and This is the best tutorial to understand some of the foundation concepts of how langchain works.
How can someone be so good at explaining??... Hatsoff sir...🙌🙌
Thanks. I am adding more videos (including end to end projects) for this series, check this list: ruclips.net/p/PLeo1K3hjS3uu0N_0W6giDXzZIcB07Ng_F.
So, to be honest its one of the best video on llm i have came across . even with little or no knowledge of nlp or dl i have understood the topic explained by u.. thnk u so much Dhaval sir for making these helpful videos that too free of cost
Thanks so much for this. I've made an updated version following along this course and also tried using an alternative framework (Gradio) for the front end app.
Very helpful. I especially appreciated seeing the details and use cases you showed and explained. I am new to these concepts, so having you explain the basics is invaluable. For example, one of my favorite sections was understanding the concept of how LLMs combine “reasoning” and “knowledge.” And, having you then walk through the actual examples is what makes this video one of the best I have watched. Thanks so much!
You made my day, the way you demonstrated is mind blowing
I didnot expect to learn about so many different things in addition to langchain. Thank you.
Sir you are my hero thank u so much I have improved a lot in deep learning and you are one of the reasons I trully don't know how to thank u, you are literally a legend
Thanks Dhaval for providing simple explanations and it was really helpful. Highly appreciate all your efforts.
Dear Dhaval Sir your video's explanation are awesome thanks for your efforts your are rocking star and AI IT-Celebrity.
I've spent two days poring over the langchain docs without much clarity. However, your video provided the insights I was seeking and greatly enhanced my understanding. Thank you for the invaluable content!
Best tutorial about building apps using AI models I have found on RUclips!! I'm looking for a framework/tools that allow me to build my own specialized model and Langchain is probably the tool I need. There are still a lot of questions to answer, I wonder if I could use the Google AI API instead of the ChatGPT?? or how I could include my own knowledge and reasoning ?? I hope I can find the answers in your videos. Thank you very much for your work!!!
I ve been searching for a good intro video that explains langchain and explains why it matters with examples, I really appreciated your explanation, thank you for spending time to organize all this work for free.
Hi Dhaval Sir,
The more i see your videos the more i like the way you teach. You make so easy to understand. And yes as you say i will not only see your videos but also do practice with it.
Thank you vey much
Good luck mahesh for your leaning journey 👍🏼
Definitely worth the time 💯
I enjoyed every minute and your teaching motivated me to spend some more time about it😄
Thank you so much. I am a bloody beginner, love your content. Do you perhaps have a beginner tutorial, that would show step by step a way to connect OpenAI with a mySql database. And feed that database with your personal data, thoughts, believes, favorite food, etc. perhaps with some categories, etc. It would be super interesting to learn how to feed and setup the Database with personal information and then connect it with the open AI LLM. Thank you so much, love your content! Keep rocking! 🙏🙏🙏
I recently made end to end video on LLM interacting with sql database. Please check the last few videos on my channel. It has a title LLM project for retail industry
@@codebasics Thanks, I'm not able to find this video, can you share a link?
Hi! I'm watching this from Pitalito (Colombia 🇨🇴) while waiting my dinner 🍽️. Thanks for this learning material; it's great! Bye.
you are directly in my top 3 favorite youtuber long life
I have been watching the your video last 4 years. All python and ML tutorial are great and comprehensive. Make video on How to create custom autonomous angent using Langchai like SalesGPT. Please kindly do the needful
This really helped get me clear understanding amidst all the jargon on the web! Thanks!
Yay! That's awesome to hear! 😄
Impressive course. You are an extremely wonderful instructor.
Excellent Tutorials. Makes all basics completely clear.
Thank you sir, I saw Gen AI video it's very good because I am looking to work on AI but when I saw too much learning curve before creating any application than that things demotivate to me but your this video very good now I can start to work on AI ..
THANKU SIR
you always put a lot of effort to taught something new which put us on mission to learn more thanks Dhaval sir
Excellent tutorial! You sir were born to be an educator. I have watched a few tutorials on this topic. IMO this ~45m video trumps all of them. Thank you.
Glad you enjoyed it! 👍
This is what i have been waiting for . please make more tutorials on langchain
yes more tutorials including end to end projects on langchain and openai api are coming up! stay tuned!
Brilliant... Man this was crisp, clear content..
Watching second time just to check few items I missed in first watching. The video is important, simple & easy to follow 👏
Very helpful and crystal clear.. Thank you Sir ❤
You are really doing good service! Keep up the good work!
Good Job Dhaval,
you made life easy for many Sr Software Eng.
Keep it Up.
Amazing video. Every part of the video is nicely explained. Bunch of thanks sir❤❤
Very helpful. You explained everything smoothly, making it easy to understand. Thanks!
Excellent video! I'm a longtime software developer, but found this useful as an intro to langchain. Thank you!
you r a best engineer when you type nmae for name - jokes aside - u r best ! thank you so much
Thank You Sir. love from gujarat.
Your explanation is so good. Please do the videos on Langchain models like Langflow and Flowise. It will be very helpful.
Enjoyed the entire training throughly
This is a great tutorial for someone new to ai and llms and need some initial steps
I got a great base to start from !!
Can you please tell how does langchain decides agents for the model. and willl the agents work for different llms ?
Superb explanation, made it as simple as possible
Excellent one. got a basic idea how to proceed with my AI project.
Your video is awesome. direct code and simple practical oriented approach. i am a novice in ai. but iam able to understand clearly. god bless u for giving these valuable videos free. i got the confidence that this is the tool for me and i can be become a ai engineer by practice( a lot). can i have a course from u for a cost and any help when i struck up. i want to teach others these topics .
Thank you so much for such a deep insight ....while i was trying this...found LLMChain is deperecated...Could you please make a video on how to use New Approach for chaining...my apology if its a very basic question...just started my journey on GenAI from your content..Thanks again.
You are the best Dhaval sir!!!
Best intro i have seen so far.
Amazing explanation and tutorial. Thanks so much for creating this awesome content!
As usual Dhaval rocks. Can't explain this better and clear
🙏🏼🙏🏼🙏🏼
Really great one!, when I was trying this example I got error like please check your plan and billing details. Please help me in solving this
same bro
Thank you dhaval for providing easily understandable content.Waiting eagerly for this series on end to end llm applications.
Thank you so much it helped me a lot and learned a lot from this.
👍👍
Thanks for taking your time teach us
very good tutorial on langchain with clear explanation and simple use-case, Thank you!
Glad you liked it ! 😊
Great explanation to understand the concepts easily. Thank you
Liked it a lot!! LangChain mystery unveiled!! 😊.. I'll definitely like to come back for more contents like this..
Wonderfull explanation of LangChain. Sir, Can you please explain RAG with LangChain with Interactive chat bot.
Excellent. You made it so simple and that's the key. Please continue the same style. Can you help me use langchain to extract match and compare data elements in two pdf files?
Excellent introduction, thank you!
Thanks man. Looking forward to the introduction about agent in the future videos.
Best tutorial video on langchain
probably the best video i've seen on langchain you presented this booming topic in a very easy and understanding way....Thankyou so much dude you just gained one sub! ❤
That's an amazing Tutorial sir.Mazza agya
Thanks. There is an entire playlist I am building with some end to end projects. Check this: ruclips.net/p/PLeo1K3hjS3uu0N_0W6giDXzZIcB07Ng_F
sir please continue this series, I''m eagerly waiting for it.
Yes more videos are coming up
Very nice and clear video. Thank you
Excellent tutorial, very well explained in step by step manner. I love it.
Glad it was helpful!
Well done brother. You made it easy.
This video is so good. Very informative. Thank you.
Thank you very much . Clear idea , Good explanation , code attached in the description Really excelent
Happy you found this useful.
As usual, HIGH quality lecture.❤
This is an amazing tutorial!
It was really wonderful, detailed, and I'm thankful for this.
I'd like to understand how could we handle rate limit, as in more frequent requests start giving errors like 'Too many requests' or RateLimitError. Please let me know any advices or suggestions!
Hahaha that tanan tanan at 14:47 caught me off guard not gonna lie. Great video btw
Thank you so much Dhaval Sir
Thanks for the intro !
Wondering why llm-math wasn't able to perform "the 5 plus" in proper way, where it added 5 trillion instead of 5$ :$
Bro you have explained it very well. Shared this video with my friends also they are also liking it . That Restaurant example can relate it to zomato / swiggy. Keep it up.
👍😊
Very Informative Session , I code along with you and learned a lot about langchain and LLM . bring more videos on how to connect with databases, other data sources so it can be more beneficial.
Thanks, will do!
@@codebasics hi i am using free model from hugging face how i link the pervious reponse for ask it like chatgpt to expand it
?
Loved the explanation. Thank you for taking time to make such informative videos.
You are the Real Gem Dhaval Sir, I appreciate your effort and thanks for giving us this valualbe content. 💎
Zunaid, glad you liked it
Can't wait to see the next one on LangChain!
Excellent tutorial. Thanks.
Great introduction video. Really good work. Thanks!
Excellent. Waiting for more such video
Thank you sir for this awesome tutorial 😊
Excellent detailed information thanks
Great video! can't wait to try myself. how can I query external files using langchain?
There is no initial free access to OpenAI API any more. Initial $5 free access is discontinued. Minor point but wrth noting
I used my visa debit card and loaded 5$ to complete this tutorial
Just use GooglePalm instead of openai it's free and best
So apart from openai which llm model i can use??
@@studology67 Meta Llama2 model which is open source
@@studology67you can try huggingface models
Thanks a lot sir.. very detailed explanation.
This video is wonderful sir and give more knowledge. i have one query: The LLM buffer can be used as edge computing ? Why because in driverless car if we are using edge computing then we get low latency for getting response
Thanks for this video. St.write() is not working properly from VS code. Any suggestion to correct it.
As usual a great tutorial sir 👍 . Eagerly waiting for your data science paid course sir. It would be really helpful if you could let us know when you are going to launch the paid course for date science ❤❤❤
Thats great video. Any suggestion how we can perform using huggingface and train LLM's on custom data and perform QnA?
excellent!! great work, thanks for sharing
This is the result I get for GDP:
> Entering new AgentExecutor chain...
I need to find the GDP of the US in 2022 and then add 5 to it.
Action: Search
Action Input: What was the GDP of US in 2022?
Observation: $25.46 trillion
Thought: Now I need to add 5 to the GDP amount.
Action: Calculator
Action Input: 25460000000000 + 5
Observation: Answer: 25460000000005
Thought:I now know the final answer.
Final Answer: The GDP of the US in 2022 plus 5 was $25,460,000,000,005.
> Finished chain.
'The GDP of the US in 2022 plus 5 was $25,460,000,000,005.'
Thank you for your video, great explanation!
Glad it was helpful!
Very clear! Thank you.
I am not able to run even 1 time with new openAI key, any advise or help? I am getting RateLimitError: Error code: 429
Thanks for sharing this knowledge
Dear Sir
Can you explain to us on "mask language model " and custom data on LLM so that we can create our own corpus in regional languages.
thank you in advance
Thanks a lot sir. You made it so easy!
Glad you liked it ! 😊
mine is not working showing rate limit error....can u pls tell me the reason
@@riyasingla4724 for openai, you have to create your own api key.