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: ua-cam.com/play/PLeo1K3hjS3uu0N_0W6giDXzZIcB07Ng_F.html
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. I am adding more videos (including end to end projects) for this series, check this list: ua-cam.com/play/PLeo1K3hjS3uu0N_0W6giDXzZIcB07Ng_F.html.
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!
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.
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.
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!
CLARIFICATION: OPENAI recently released openai functions that allows you to query external data source such as the database of your organization. In the initial slides i explained 3 reasona of using langchain out of which the first one is still valid (cost effectiveness ny using open source models such as hugging face bloom) but the other two reasons are something that can't be achieved using plain chat completion api but can be achieved using openai functions and future apis that they release. The summary of benefits of using langchain woule be as follows, 1) ability to plug in any type of model (openai gpt4 vs open source model such as hugging face bloom) 2) abstraction that makes development faster. E.g. prompt templates
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.
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! ❤
Best tutorial about building apps using AI models I have found on UA-cam!! 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!!!
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
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
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
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 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 .
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.
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 ❤❤❤
Thanks the video was helpful. The LLMChain is deprecated in newer versions. Instead we can use | operator like prompt_template_name | llm. But I am not sure how to provide output variables using the | syntax. One workaround I found was using RunnableSequence
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?
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!
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: ua-cam.com/play/PLeo1K3hjS3uu0N_0W6giDXzZIcB07Ng_F.html
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
Thankyou Sir it helped me a lot in understanding LLM wishing you good health and more success
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: ua-cam.com/play/PLeo1K3hjS3uu0N_0W6giDXzZIcB07Ng_F.html.
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.
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
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.
Hahaha that tanan tanan at 14:47 caught me off guard not gonna lie. Great video btw
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!
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.
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!
Definitely worth the time 💯
I enjoyed every minute and your teaching motivated me to spend some more time about it😄
Hi! I'm watching this from Pitalito (Colombia 🇨🇴) while waiting my dinner 🍽️. Thanks for this learning material; it's great! Bye.
I didnot expect to learn about so many different things in addition to langchain. Thank you.
Good Job Dhaval,
you made life easy for many Sr Software Eng.
Keep it Up.
Thanks Dhaval for providing simple explanations and it was really helpful. Highly appreciate all your efforts.
Excellent video! I'm a longtime software developer, but found this useful as an intro to langchain. Thank you!
Dear Dhaval Sir your video's explanation are awesome thanks for your efforts your are rocking star and AI IT-Celebrity.
CLARIFICATION: OPENAI recently released openai functions that allows you to query external data source such as the database of your organization. In the initial slides i explained 3 reasona of using langchain out of which the first one is still valid (cost effectiveness ny using open source models such as hugging face bloom) but the other two reasons are something that can't be achieved using plain chat completion api but can be achieved using openai functions and future apis that they release. The summary of benefits of using langchain woule be as follows,
1) ability to plug in any type of model (openai gpt4 vs open source model such as hugging face bloom)
2) abstraction that makes development faster. E.g. prompt templates
Haha bro, don't worry about showing the key, you can remove it after the end of the video tutorial, shoot with the key and don't worry.
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! 👍
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! ❤
you are directly in my top 3 favorite youtuber long life
Amazing video. Every part of the video is nicely explained. Bunch of thanks sir❤❤
Best tutorial about building apps using AI models I have found on UA-cam!! 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!!!
Liked it a lot!! LangChain mystery unveiled!! 😊.. I'll definitely like to come back for more contents like this..
Impressive course. You are an extremely wonderful instructor.
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 👍🏼
Watching second time just to check few items I missed in first watching. The video is important, simple & easy to follow 👏
Thank you dhaval for providing easily understandable content.Waiting eagerly for this series on end to end llm applications.
Brilliant... Man this was crisp, clear content..
For the agent tools issue. I used Groq with the model of "llama-3.3-70b-versatile" It requires the "llm-math" to calculate the age correctly
Thanks!
Very helpful. You explained everything smoothly, making it easy to understand. Thanks!
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: ua-cam.com/play/PLeo1K3hjS3uu0N_0W6giDXzZIcB07Ng_F.html
you r a best engineer when you type nmae for name - jokes aside - u r best ! thank you so much
Excellent Tutorials. Makes all basics completely clear.
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
Very helpful and crystal clear.. Thank you Sir ❤
This really helped get me clear understanding amidst all the jargon on the web! Thanks!
Yay! That's awesome to hear! 😄
As usual, HIGH quality lecture.❤
You are really doing good service! Keep up the good work!
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
Best intro i have seen so far.
As usual Dhaval rocks. Can't explain this better and clear
🙏🏼🙏🏼🙏🏼
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?
Thanks man. Looking forward to the introduction about agent in the future videos.
Amazing explanation and tutorial. Thanks so much for creating this awesome content!
Your explanation is so good. Please do the videos on Langchain models like Langflow and Flowise. It will be very helpful.
Superb explanation, made it as simple as possible
Excellent one. got a basic idea how to proceed with my AI project.
Thank you. Keep them coming
You are the best Dhaval sir!!!
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
?
Thank you very much . Clear idea , Good explanation , code attached in the description Really excelent
Happy you found this useful.
Excellent introduction, 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 it helped me a lot and learned a lot from this.
👍👍
The real OG. 👍🏻
Enjoyed the entire training throughly
very good tutorial on langchain with clear explanation and simple use-case, Thank you!
Glad you liked it ! 😊
Well done brother. You made it easy.
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.
👍😊
This is an amazing tutorial!
Thank You Sir. love from gujarat.
Loved the explanation. Thank you for taking time to make such informative videos.
Can't wait to see the next one on LangChain!
Excellent tutorial, very well explained in step by step manner. I love it.
Glad it was helpful!
Great explanation to understand the concepts easily. Thank you
Very nice and clear video. Thank you
Best tutorial video on langchain
You are the Real Gem Dhaval Sir, I appreciate your effort and thanks for giving us this valualbe content. 💎
Zunaid, glad you liked 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 ❤❤❤
Thanks the video was helpful.
The LLMChain is deprecated in newer versions. Instead we can use | operator like prompt_template_name | llm. But I am not sure how to provide output variables using the | syntax. One workaround I found was using RunnableSequence
Excellent. Waiting for more such video
Awesome video brother 🎉
This video is so good. Very informative. Thank you.
Thanks for your video course
Thank you sir for this awesome tutorial 😊
Awesome 🎉 Dhavalbhai ❤
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.
Great introduction video. Really good work. Thanks!
sir please continue this series, I''m eagerly waiting for it.
Yes more videos are coming up
Great introduction to langchains 👍
mind blowing😍😍😍😍😍😍😍😍
0:43 Correction: GPT3.5 is a single model. GPT4 is an application made of 8 models.
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?
Loved it 🙏
Thanks for taking your time teach us
Wonderfull explanation of LangChain. Sir, Can you please explain RAG with LangChain with Interactive chat bot.
Thank you so much Dhaval Sir
excellent!! great work, thanks for sharing
Excellent tutorial. Thanks.
Thanks a lot sir.. very detailed explanation.
Excellent detailed information thanks
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!