LangChain Crash Course For Beginners | LangChain Tutorial
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- Опубликовано: 19 июн 2024
- LangChain is an open-source framework that allows you to build applications using LLMs (Large Language Models). In this crash course for LangChain, we are going to cover the following topics,
00:00 Introduction
00:22 What is Langchain?
04:38 Langchain installation and setup
06:28 LLMs, Prompt Templates
10:12 Chains
11:57 Simple Sequential Chain
15:30 Sequential Chain
18:00 Build Streamlit App
27:40 Agents
37:24 Memory
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Langchain tutorial playlist: • LangChain Tutorials Pl...
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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.
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!
Excellent video! I'm a longtime software developer, but found this useful as an intro 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
I didnot expect to learn about so many different things in addition to langchain. Thank you.
Thank you dhaval for providing easily understandable content.Waiting eagerly for this series on end to end llm applications.
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! ❤
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
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 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!
Very helpful. You explained everything smoothly, making it easy to understand. Thanks!
Impressive course. You are an extremely wonderful instructor.
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.
Good Job Dhaval,
you made life easy for many Sr Software Eng.
Keep it Up.
Loved the explanation. Thank you for taking time to make such informative videos.
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 man. Looking forward to the introduction about agent in the future videos.
As usual, HIGH quality lecture.❤
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!!!
Hi! I'm watching this from Pitalito (Colombia 🇨🇴) while waiting my dinner 🍽️. Thanks for this learning material; it's great! Bye.
Great explanation to understand the concepts easily. Thank you
Enjoyed the entire training throughly
Your explanation is so good. Please do the videos on Langchain models like Langflow and Flowise. It will be very helpful.
Liked it a lot!! LangChain mystery unveiled!! 😊.. I'll definitely like to come back for more contents like this..
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!
Great introduction video. Really good work. Thanks!
This really helped get me clear understanding amidst all the jargon on the web! Thanks!
Yay! That's awesome to hear! 😄
Excellent introduction, thank you!
Can't wait to see the next one on LangChain!
Excellent one. got a basic idea how to proceed with my AI project.
Superb explanation, made it as simple as possible
Well done brother. You made it easy.
This video is so good. Very informative. 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
Good luck mahesh for your leaning journey 👍🏼
Very clear! Thank you.
Thank you for this. Very helpful!
excellent!! great work, thanks for sharing
Excellent tutorial, very well explained in step by step manner. I love it.
Glad it was helpful!
Best intro i have seen so far.
Excellent tutorial. Thanks.
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.
Excellent. Waiting for more such video
Great intro 👍 thanks for putting this together
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 ❤❤❤
Can't wait for more !!
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
?
very good tutorial on langchain with clear explanation and simple use-case, Thank you!
Glad you liked it ! 😊
A great great video, thank you so much !!
Thank you sir for this awesome tutorial 😊
Thank you very much . Clear idea , Good explanation , code attached in the description Really excelent
Happy you found this useful.
You are the best Dhaval sir!!!
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!
Thank you so much it helped me a lot and learned a lot from this.
👍👍
Thank you. Appreciate it.
you always put a lot of effort to taught something new which put us on mission to learn more thanks Dhaval sir
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
Excellent detailed information thanks
Excellent video.
As usual Dhaval rocks. Can't explain this better and clear
🙏🏼🙏🏼🙏🏼
Thanks a lot and very clear explanations
Thanks a lot for the wonderful tutorial
Best tutorial video on langchain
Super video thank you, I subscribed !
Thanks for sharing this knowledge
Thanks a lot sir.. very detailed explanation.
Thats great video. Any suggestion how we can perform using huggingface and train LLM's on custom data and perform QnA?
Thanks a lot sir. You made it so easy!
Glad you liked it ! 😊
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.
👍😊
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.
Thank you so much Dhaval Sir
thanks for this video!
thank you so much
thanks sir, very good tutorial
Thank you!
Very good info. Thank you so much for sharing!
👍🙏🙏
Thanks!
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
Awesome video brother 🎉
Thank you so much
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
Great introduction to langchains 👍
Thank you for your video, great explanation!
Glad it was helpful!
Good Explanation. Liked it.
Excellent !!!
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?
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 .
best explanation
The real OG. 👍🏻
This is so good sir . Thankyou sir
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
Great video
Watching second time just to check few items I missed in first watching. The video is important, simple & easy to follow 👏
You are the Real Gem Dhaval Sir, I appreciate your effort and thanks for giving us this valualbe content. 💎
Zunaid, glad you liked it
your video's quality is so good, which camera are you use?
Awesome 🎉 Dhavalbhai ❤
Great video! can't wait to try myself. how can I query external files using langchain?
Super helpful
Excellent tutorial! How do u make it use both the regular LLM answering as well as Agent. Once u loaded the tools and created agentexecutor, it’s only going to answer the prompt using tools, isn’t it?