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
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
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
This video is truly remarkable. I sincerely commend your efforts; it serves as an excellent resource for individuals looking to begin their journey and delve into these technologies. Thank you for creating and sharing this informative content.
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.
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
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 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!
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.
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! ❤
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.
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
7 месяцев назад
Hi! I'm watching this from Pitalito (Colombia 🇨🇴) while waiting my dinner 🍽️. Thanks for this learning material; it's great! Bye.
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 ?
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
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
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 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 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.
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.
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?
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.
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!
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 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
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
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.
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
This video is truly remarkable. I sincerely commend your efforts; it serves as an excellent resource for individuals looking to begin their journey and delve into these technologies. Thank you for creating and sharing this informative content.
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!
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.
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.
Thankyou Sir it helped me a lot in understanding LLM wishing you good health and more success
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 watching tutorials from past 10 months and This is the best tutorial to understand some of the foundation concepts of how langchain works.
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
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 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!
Thanks!
Definitely worth the time 💯
I enjoyed every minute and your teaching motivated me to spend some more time about it😄
Good Job Dhaval,
you made life easy for many Sr Software Eng.
Keep it Up.
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
0:43 Correction: GPT3.5 is a single model. GPT4 is an application made of 8 models.
I didnot expect to learn about so many different things in addition to langchain. Thank you.
Excellent video! I'm a longtime software developer, but found this useful as an intro to langchain. Thank you!
You made my day, the way you demonstrated is mind blowing
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.
Hahaha that tanan tanan at 14:47 caught me off guard not gonna lie. Great video btw
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! ❤
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! 👍
Thanks Dhaval for providing simple explanations and it was really helpful. Highly appreciate all your efforts.
Thank you dhaval for providing easily understandable content.Waiting eagerly for this series on end to end llm applications.
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 👍🏼
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
Hi! I'm watching this from Pitalito (Colombia 🇨🇴) while waiting my dinner 🍽️. Thanks for this learning material; it's great! Bye.
Impressive course. You are an extremely wonderful instructor.
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 ?
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?
Dear Dhaval Sir your video's explanation are awesome thanks for your efforts your are rocking star and AI IT-Celebrity.
Liked it a lot!! LangChain mystery unveiled!! 😊.. I'll definitely like to come back for more contents like this..
This really helped get me clear understanding amidst all the jargon on the web! Thanks!
Yay! That's awesome to hear! 😄
Brilliant... Man this was crisp, clear content..
you r a best engineer when you type nmae for name - jokes aside - u r best ! thank you so much
Amazing video. Every part of the video is nicely explained. Bunch of thanks sir❤❤
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
you are directly in my top 3 favorite youtuber long life
Very helpful. You explained everything smoothly, making it easy to understand. Thanks!
You are really doing good service! Keep up the good work!
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. This video provides a lot of impressive information.
Best regards.
Excellent Tutorials. Makes all basics completely clear.
Your explanation is so good. Please do the videos on Langchain models like Langflow and Flowise. It will be very helpful.
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 .
Amazing explanation and tutorial. Thanks so much for creating this awesome content!
Thanks man. Looking forward to the introduction about agent in the future videos.
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
As usual, HIGH quality lecture.❤
Thank you very much . Clear idea , Good explanation , code attached in the description Really excelent
Happy you found this useful.
Thank you so much it helped me a lot and learned a lot from this.
👍👍
Best intro i have seen so far.
Watching second time just to check few items I missed in first watching. The video is important, simple & easy to follow 👏
Superb explanation, made it as simple as possible
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.
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.
👍😊
Excellent one. got a basic idea how to proceed with my AI project.
As usual Dhaval rocks. Can't explain this better and clear
🙏🏼🙏🏼🙏🏼
Very helpful and crystal clear.. Thank you Sir ❤
you always put a lot of effort to taught something new which put us on mission to learn more thanks Dhaval sir
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?
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.
very good tutorial on langchain with clear explanation and simple use-case, Thank you!
Glad you liked it ! 😊
Excellent introduction, thank you!
Well done brother. You made it easy.
Enjoyed the entire training throughly
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!
Excellent tutorial, very well explained in step by step manner. I love it.
Glad it was helpful!
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
Can't wait to see the next one on LangChain!
Wonderfull explanation of LangChain. Sir, Can you please explain RAG with LangChain with Interactive chat bot.
Great explanation to understand the concepts easily. Thank you
You are the best Dhaval sir!!!
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
Thank you. Keep them coming
This video is so good. Very informative. Thank you.
Great introduction video. Really good work. Thanks!
Thank You Sir. love from gujarat.
This is an amazing tutorial!
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 ❤❤❤
Excellent. Waiting for more such video
Very nice and clear video. Thank you
Awesome video brother 🎉
You are the Real Gem Dhaval Sir, I appreciate your effort and thanks for giving us this valualbe content. 💎
Zunaid, glad you liked it
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$ :$
Awesome 🎉 Dhavalbhai ❤
sir please continue this series, I''m eagerly waiting for it.
Yes more videos are coming up
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 taking your time teach us
your video's quality is so good, which camera are you use?
Best tutorial video on langchain
Great introduction to langchains 👍
Thank you sir for this awesome tutorial 😊
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