After watching a ton of courses on coursera developed by prestigious universities, and tech companies like google, meta, etc., I found IBM' courses are the best: comprehensive, clear and concise! Thank you
- [00:00] 🛠 LangChain Overview - LangChain is an open-source framework for developing applications utilizing large language models (LLMs). - Components of LangChain include abstractions, LLM modules, prompts, and chains, streamlining the programming of LLM applications. - [01:26] 🔄 Abstractions in LangChain - Abstractions in LangChain simplify complex NLP tasks by representing common steps and concepts necessary to work with language models. - These abstractions can be chained together to create applications, minimizing the amount of code required. - [02:22] 🔗 Components of LangChain - LangChain comprises LLM modules, prompts, and chains, enabling developers to integrate different models and execute sequential functions to achieve desired tasks. - Components like prompts formalize the composition of instructions given to LLMs, facilitating the development process. - [03:47] 📊 Data Handling in LangChain - LangChain supports various data handling mechanisms, including document loaders and text splitters, enabling access to external data sources and efficient text processing. - Vector databases and memory utilities enhance data retrieval and management within LangChain applications. - [06:09] 🤖 LangChain Use Cases - LangChain facilitates diverse applications such as chatbots, summarization, question answering, data augmentation, and virtual agents. - Integration with existing workflows and robotic process automation (RPA) enhances the functionality of LangChain.
Just want to thank the wonderful presenters for this excellent series and IBM for its commitment, innovation, and broad contribution to education in this field.
I can't put into words how much I loved this video , as a complete novice into langchain I now know more than I expected to , everything is now clear in my mind , thank you from the bottom of my heart
00:01 LangChain is an orchestration framework for large language model applications. 00:58 LangChain is a fast-growing open-source project with utility in streamlining LLM applications. 02:05 LangChain standardizes llm interface 03:05 LangChain enables sequential chains of functions in applications. 04:06 LangChain's document loaders work with third-party applications for importing data sources. 05:11 LangChain solves the issue of retaining conversation memory 06:14 LangChain offers chatbot integration and text summarization capabilities. 07:15 LangChain enables autonomous actions with language models and RPA.
Great video! I just published a chat bot for home brewers, but it’s a bit basic so a friend of mine recommended using langchain to have it provide better responses and take meaningful actions. This was really helpful for me to get started, thank you!
As soon as I saw him start writing backwards, I lost all concentration on the presentation and was wondering "how did he do that", and was figuring it out instead of listening to the content.
LangChain exists a long time and its community is huge. Nice to finally get an intro from IBM about that long existing technology and community product.
Great topic and great presentation of it -- a good breakdown of what it is and the use-cases it tries to fulfill. I like how you filled in some of the text instead of writing it out -- saves a lot of time. Thanks.
You're pointing out that while humans, even those in scientific fields, might not prefer to use complex models like graph theory for direct communication, they prioritize these methods when designing machine communication systems. This reflects the focus on efficiency and precision in machine interactions, which differs from how humans naturally communicate. ChatGPT ❤🎉
Thank you, Great tutorial, and easy to understand manner. We would like to ask you to explain about Lang chain concepts like indexes and chains. thank u again.
As always informative and entertaining at the same time. Would be great if you could show us some demo applications as well as some high level sample integration code or component. Thanks.
In the same program can we query one LLM (Like Llama2) , get response & use that response in a chain and pass that to another LLM (like google gemini)... All the in same program?
Thank you very much for this introduction! I found it really useful and helps me navigate all the information and new programs around AI. Would you be able to provide few examples on what can we built on langchain ?
Best explanation. Please can IBM provide end to end AI courses that can make us market ready for AI job or creating AI start up. So many noises out there
Am I the only one who wonders how this presentation actually works? Is he writing on a mirror? If he wrote on glass while standing behind it, it would be in reverse for us... How does some of the words autocomplete? How does it glow? Is it magic?
It’s actually a thing they invented to do this, I wondered the same thing and the actual ibm channel responded with a link to how they do it. Pretty sure it’s the video flipped horizontally. While he writes on a glass ( I cant remember anymore it was a long time ago the ibm channel responded)
I think he writes on a glass, and the camera is behind the glass. When the video is shot, it's mirrored so that left becomes right, and the right becomes left. Glowing is not a problem, there are fluorescent paints.
The setup's left side view will be like: Person |Glass| Camera Glass will be big enough to cover the frame as in the video. Face is illuminated by lights fixed on the glass's frame. This will avoid reflections which would have been seen on the glass if illuminated from the front side. He writes on the glass with chalk pen. Video will be recorded on to the camera. This footage will have the letters written on the glass aa inverted horizontally. Then this footage is flipped horizontally by editing software.
I was wondering that. If I had to do something like that, I would place him behind a glass wall, turned to the camera which on the other side of the glass. Then mirror the recorded video. But maybe they do it differently
Can you use this tools to create a chatbot for internal databases and taking care of the data privacy? For example, I have my documents with private information and I want to use Langchain to ask question about it... Can I create it with langchain without exposing my data?
honestly, I dont really like lang chain, I'd rather write the code myself to do this because its pretty trivial. seems more like something for non-techinical people who arent in tech
Everything, what could be done with langchain, better to be done without langchain. Langchain is everything bad from huggingface, without anything good, except false promise to make AI go brrrr with few lines of code. Okay, it will go brrrrr. But slowly. And when you'll need something at least a bit uncommon, you'll find, that everything is obfuscated behind several levels of unnecessary abstractions. And you'll need to rewrite everything.
After watching a ton of courses on coursera developed by prestigious universities, and tech companies like google, meta, etc., I found IBM' courses are the best: comprehensive, clear and concise! Thank you
Hipsters in their bedrooms telling you a few examples are enterprise production ready.
Completed their data science specialization. It was great and covered the entire workflow of a Data Scientist.
Love LangChain, combine it with OpenAI LLM and Composio, it makes a bomb of an agent!
- [00:00] 🛠 LangChain Overview
- LangChain is an open-source framework for developing applications utilizing large language models (LLMs).
- Components of LangChain include abstractions, LLM modules, prompts, and chains, streamlining the programming of LLM applications.
- [01:26] 🔄 Abstractions in LangChain
- Abstractions in LangChain simplify complex NLP tasks by representing common steps and concepts necessary to work with language models.
- These abstractions can be chained together to create applications, minimizing the amount of code required.
- [02:22] 🔗 Components of LangChain
- LangChain comprises LLM modules, prompts, and chains, enabling developers to integrate different models and execute sequential functions to achieve desired tasks.
- Components like prompts formalize the composition of instructions given to LLMs, facilitating the development process.
- [03:47] 📊 Data Handling in LangChain
- LangChain supports various data handling mechanisms, including document loaders and text splitters, enabling access to external data sources and efficient text processing.
- Vector databases and memory utilities enhance data retrieval and management within LangChain applications.
- [06:09] 🤖 LangChain Use Cases
- LangChain facilitates diverse applications such as chatbots, summarization, question answering, data augmentation, and virtual agents.
- Integration with existing workflows and robotic process automation (RPA) enhances the functionality of LangChain.
Just want to thank the wonderful presenters for this excellent series and IBM for its commitment, innovation, and broad contribution to education in this field.
What innovation you're talking? The community innovation?
I can't put into words how much I loved this video , as a complete novice into langchain I now know more than I expected to , everything is now clear in my mind , thank you from the bottom of my heart
Probably the only channel that doesnt 'plugin' their app or service ( read Google) to explain a topic !
Thank you IBM. Greetings from Popayan, Colombia.
00:01 LangChain is an orchestration framework for large language model applications.
00:58 LangChain is a fast-growing open-source project with utility in streamlining LLM applications.
02:05 LangChain standardizes llm interface
03:05 LangChain enables sequential chains of functions in applications.
04:06 LangChain's document loaders work with third-party applications for importing data sources.
05:11 LangChain solves the issue of retaining conversation memory
06:14 LangChain offers chatbot integration and text summarization capabilities.
07:15 LangChain enables autonomous actions with language models and RPA.
Great video! I just published a chat bot for home brewers, but it’s a bit basic so a friend of mine recommended using langchain to have it provide better responses and take meaningful actions. This was really helpful for me to get started, thank you!
Ooooh share a link if you can!
Yeah could you share
martin KEEN(nominative determinism at work?) is my all-time fav IBM presenter! THis one no exception Great, clear expo of LangChain..
As soon as I saw him start writing backwards, I lost all concentration on the presentation and was wondering "how did he do that", and was figuring it out instead of listening to the content.
Pure gold! Thanks a lot for this. Best regards from Nairobi, Kenya
hey i want you to contact me
Best description of LangChain I have watched
Great work! The best video to understand LangChane in only a few minutes.Thank you!
This video made it easier for me to understand the LangChain, and also the elements I will be learning during RAG.
LangChain exists a long time and its community is huge. Nice to finally get an intro from IBM about that long existing technology and community product.
Great topic and great presentation of it -- a good breakdown of what it is and the use-cases it tries to fulfill. I like how you filled in some of the text instead of writing it out -- saves a lot of time. Thanks.
Jaimin Here, Thank you IBM :)
thanks steve kerr for the lesson!
Excellent explanation! Thanks !
Thank you for a very instructional video. I loved the format :)
This video helped me understand better about Langchain.
You're pointing out that while humans, even those in scientific fields, might not prefer to use complex models like graph theory for direct communication, they prioritize these methods when designing machine communication systems. This reflects the focus on efficiency and precision in machine interactions, which differs from how humans naturally communicate.
ChatGPT ❤🎉
Thanks for the information.
Regards,
Giri
Way to break down the chain. Well done.
Thank you, Great tutorial, and easy to understand manner. We would like to ask you to explain about Lang chain concepts like indexes and chains.
thank u again.
This was super useful and easy to understand, thank you so much for posting!
Great overview! 🌟📚
Thank you for these videos. They are super helpful.
great work for this complicated frame work!
Excellent explanation, thanks very much. It was very useful
As always informative and entertaining at the same time. Would be great if you could show us some demo applications as well as some high level sample integration code or component. Thanks.
A complex topic explained clearly.
Can we expand the capacity of input prompt using langchain if yes can you suggest any methods??
Thanks for sharing your knowladge with us. Thanks from Brazil.
Good summarization !
Is sementic kernel like lang chain?
What a great summary, thank you.
Nice content, really appreciate it.
Which is best suited for Raspberry PI
thank you very much.
How does langchain stack against llama index? Which is most preferred?
In the same program can we query one LLM (Like Llama2) , get response & use that response in a chain and pass that to another LLM (like google gemini)... All the in same program?
any answer?
Thank you very much for this introduction! I found it really useful and helps me navigate all the information and new programs around AI. Would you be able to provide few examples on what can we built on langchain ?
is he is writing in inverted form ?
Likely writes normal for himself then video is inverted horizontally
I wondered the same thing
Great video!
Ibm explaining langchain. I guess langchain is getting production ready. During the start langchain was a bit rough.
Great explanations
Just to clarify, LangChain ~= JSON but for LLMs?
Really Nice IBM, thank you!
Great explaination. Thank you
very helpful, thanks!
Most people use langchain to extend memory on LLMs, do you have an alternative for that?
Best explanation. Please can IBM provide end to end AI courses that can make us market ready for AI job or creating AI start up. So many noises out there
What a great explainer video.
this is really cool and useful
great video
Very helpful
Best explanation.
Very well explained ! Thx
Am I the only one who wonders how this presentation actually works? Is he writing on a mirror? If he wrote on glass while standing behind it, it would be in reverse for us... How does some of the words autocomplete? How does it glow? Is it magic?
It’s actually a thing they invented to do this, I wondered the same thing and the actual ibm channel responded with a link to how they do it. Pretty sure it’s the video flipped horizontally. While he writes on a glass ( I cant remember anymore it was a long time ago the ibm channel responded)
I think he writes on a glass, and the camera is behind the glass. When the video is shot, it's mirrored so that left becomes right, and the right becomes left. Glowing is not a problem, there are fluorescent paints.
The setup's left side view will be like:
Person |Glass| Camera
Glass will be big enough to cover the frame as in the video. Face is illuminated by lights fixed on the glass's frame. This will avoid reflections which would have been seen on the glass if illuminated from the front side.
He writes on the glass with chalk pen. Video will be recorded on to the camera. This footage will have the letters written on the glass aa inverted horizontally. Then this footage is flipped horizontally by editing software.
I was wondering that. If I had to do something like that, I would place him behind a glass wall, turned to the camera which on the other side of the glass. Then mirror the recorded video. But maybe they do it differently
I think he did write in a reverse way!
Can you use this tools to create a chatbot for internal databases and taking care of the data privacy? For example, I have my documents with private information and I want to use Langchain to ask question about it... Can I create it with langchain without exposing my data?
wao great presentation
Um.. why is brulosophy guy on IBM's channel explaining langchain??
Does he write inversely on the board?
No, the video is mirrored
cool video)
brilliant!
thank you
While watching the video I couldn't stop thinking of whether he is actually writing things backwarts so we can see them written normally? xd
The big question I come away with is: Does the presenter really write all the notes backwards?! :-)
Nah, they flip the video.
how is this not the most distracting awesome thing??
So in reality we are seeing the presenter mirror picture?
Nope, they'd flip the camera recording
thnx
Does anybody know how he wrote these words in mirror image?🤯
Hold up... Am I watching a video on LLMs from the same guy that I've learned about home brewing from?!?!?
😂😂😂😂😂
I was a little scared that this would be a blockchain thing.
Scared ? Lol
Scared?? Weak soul spotted
It could be used for that. Get that schmoney.
blockchain technology is great. Open your eyes.
Fear is the mind-killer. Fear is the little-death that brings total obliteration.
Langchain yeahh :D
honestly, I dont really like lang chain, I'd rather write the code myself to do this because its pretty trivial. seems more like something for non-techinical people who arent in tech
💗
Is he right or left handed
👏👏
That's it folks.. It's happening.. I'm scared about what this technology can do
how he is writing ? is he writing on a glass plank in reverse manner (OR) he is using any digital board like system >>>>>? 🤯🤯🤔🤔
It’s Left-Right Flip.
So this is what Ole is upto after leaving Man Utd
Better than going back to Molde.
Wait!!! Did he just casually wrote in reverse???
LanguageModelChaingang ;)
Thompson Angela Walker Ronald Lopez Robert
The presenter resembles the former man utd midfielder nemanja matic.
1:11 WTF? did he just .......
You mean mirror writing?
why?why?why?Why IBM know everything but lose AI age?
IBM will soon shock everyone 😅.
You wait for it 🙂
sometimes you question why nice people stay with ibm?
Everything, what could be done with langchain, better to be done without langchain.
Langchain is everything bad from huggingface, without anything good, except false promise to make AI go brrrr with few lines of code.
Okay, it will go brrrrr. But slowly.
And when you'll need something at least a bit uncommon, you'll find, that everything is obfuscated behind several levels of unnecessary abstractions. And you'll need to rewrite everything.
4000 laoff today. are you affected.
Langchain is horrible
why? i want to use it
subscribed
Way to break down the chain. Well done.