The pace of this video is perfect. You gave a pace that was fast enough to cover a lot of ground in a short period of time for the "watch through" understanding, but not so crazy that it is difficult to pause when you're trying to follow along with code. This was the first of your videos I watched, and it had me checking out some of your older stuff. Your older stuff definitely isn't to this same level, but it all seems like things where you've improved over time. I've subscribed, and I'm looking forward to future videos.
Thanks so much D. That's exactly what I was hoping to hear! I really started taking content continuous improvement seriously these last couple of months. Just feeling out what's working, this video has been one of my favourites I ever produced!
Not sure about that - indexes need to index the data, any data based application will outdo that faster than you can realize. THAT SAID: ChatGPT-4 is able to use tools and such a tool can be an API to access a database. I had a nice discussion with ChatGPT about OData - can fully use it. So, use the indices for i.e. the employer handbook and the documentation where to find stuff, then use tools to access this stuff. No need to load all the data in to the ai, particularly data that changes frequently (i.e. orders in an online shop), stick to the regulations the AI needs to know that are static (i.e. goods return policy).
Some constructive feedback: would love to see an example of the app in action before you dive into building the code for it. Video jumps straight to code before we really know what for. That being said, the setting a 15 minute timer and then speaking quickly to respect time is a phenomenal touch (something I’ve never seen done before). Well done man, thanks for the video
Amazing video and love that you provided the code. This is the furthest I've gotten beyond standard ChatGPT capabilities and since it's mostly one script done in Python instead of Google Collab or Jupter, even better for my local use case. Instant Subscribe and can't wait to see what else you do with LLMs and Langchain.
Juypyter is python script too noob! Jupyter is an IDE not a language. Python is a language not an IDE. You need a UI or IDE or command line to do python. Even if it is only notepad. Notice the dude isnt running the scripts to show they work in his IDE? why? Because it dont work properly
That was really interesting to see how to put the pieces together. Your vid gave me a deeper appreciation for how they come together and what they're capable of. Thank you!
Thanks so much @Curious Future! I really wanted to show how to stack all the stuff together and actually show how it use it/make the most of it. Hope that came across!!
Nic is one of the best youtube tutors out there. i really enjoyed the video just as I like his other videos. It's always remarkable that he teaches such topics with such great ease and understandability, which speak volumes about his skills and knowledge on the subject matter. Thnx Nic
I have been fighting for weeks just for a simple script like this as my entry point to this tech. Now I can move past this obstacle and onto greater days! Thanks. I learned some coding about 30 years ago so I am learning everything as new again. Happy days!
@nicholas it’s been over 12 years since I’ve coded. I never coded in Python but this video inspired me to get back in and I was able to build your tutorial from scratch! Thank you! 👏🏾
Great video - as usual! It is mind blowing how python libraries are so powerful - that we can do so amazing POC applications in about 30mins where it would take week of teams work couple years ago... not even talking about NLP part... Thanks for sharing and motivating me to try it out for some weekend projects!
I spent a few hours with you this morning writing my first script. Your script, though I didn't realize you'd be chopping and changing stuff everywhere. I got it in the end and learned lots. Cheers mate
Amazing Video as usual man, really loved to see this and understand how you can do amazing stuff with LangChain. However, the title is a little misleading as I thought it would actually be related to the AutoGPT repo and using langchain with that. Would love to see more though on langchain, especially indexes
Ah my bad, what AutoGPT does is the same in architecture as what is shown in the vid. That being said when I’m back at my desk I’ll prep a vid that shows the comparisons and how they can work together! Index code is done, just gotta get back home to make the vid!
❤Hey, Nick. Definitely, one of the best tutorials of LangChain! Better than some paid courses! 🎉 Thank you 🙏 As I’m not so versed in Python, I slowed it down to 0.75 speed😂
Fantastic presentation, so pleased with how you spelled it out for me. I've been scratching my head a little bit with Langchain these past couple of weeks!
@@NicholasRenotte Nicholas, what's your thoughts on system messages? Is it worthwhile using this or just putting your message direct in the prompt template?
Waiting for video on indexes , superb video buddy keep bringing awesome content like this and if possible just take your time and don't rush on topics so that more people can understand well, rest upto you :-)
Thank you for the step by step tutorial, as someone who is learning to code this is a highly valuable resource. Please create more content like this relating to AI.
@12:22 in the script_template we define the input prompt as title. This title is the output of the title_template. But, I don't see this being defined. I mean, we haven't explicity said that the output of script_template is title. So then, how does the script_template figure that out?
Hi Nicholas, this was great 😃 I am looking forward to eleminate OpenAI dependency and use llamacpp bindings for local. There are few documentation errors of langchain otherwise I am almost there.
Great video! I just discovered your channel! Please continue more work like this, because you're approach is very easy to follow and extremely concise!
I want to build a ChatGPT style bot that I can feed all of my company documents. So I can then ask questions if I need to find quick answers to things. How can I do that?
Ive watched many of your videos now and i gotta say you are a great teacher and im so glad you do these videos :) big thank you and greetings from germany! I Learned so much valuable Information i cant thank you enough :))))
Just found your channel. Epic content brother. Thanks for taking the time to share! Can you show how us how we would actually upload something like this to a website (as opposed to being on your localhost)?
Ideally, the ultimate tutorial is to fully use a hugging face LLM that is fully offline from OpenAI. Love this video, but that is going to be the game changer for AI that all the big players are probably freaking out about.
@@jonassteinberg3779 I was thinking more on the lines of creating tangible assets that boost productivity so that labor can capture it before fortune 500 try to siphon away wages to capture the productivity like they did in the 80s. If labor is thought as a commodity, and an offline LLM that you personally own guarantees results in productivity in your workflow, it would force employers to have to pay higher salaries for the output. That is if economic theory on ownership of assets holds true in the US and is not just ignored.
Thank you very much for your sharing, it has given me a lot of inspiration. I am currently preparing a programming assistant for a software. I have prepared 10 sample programs and stored them in a JSON file. I hope that users can ask questions using the chatbot and get relevant responses. However, I am facing several issues at the moment: 1. I am struggling with how to upload the JSON file to Vetor Store. Currently, my approach is to convert the JSON into a CSV file, but this method is not yielding satisfactory results compared to directly uploading the JSON file using relevanceai. 2. In my own setup, I am using openai's GPT3.5 along with Pinecone and openai embedding. These configurations are similar to relevanceai except for Pinecone. Should I consider switching to another vector store?
@@NicholasRenotte Milvus would be a cool option too for people who want localized. You're an incredible teacher. You're the first person I've ever seen who teaches the way I actually learn. Thank you!
We got issue about information security and can't use openAI service. Can you advise some open source models to replace OpenAI but have acceptable accuracy? We tried LLaMA, Vicuna, Koala but they are not good enough
Fantastic video. If you decide to do a follow on video, I'd like to see the next step being using vector databases/stores and creating a ChatGPT web app that can answer questions from a collection of PDF or Microsoft Word or HTML documents. i.e. Summarize documents , rewrite documents, or answer questions based on the contents of documents.
Not sure if you are aware, the "Get the Code" link takes me to a different project about LipNet but i manage to find the right repository in your account.
Would love to see indexes. Possibly larger memories like a couple of philosophy books and semantic search. Associating some context to user input and answering some cool questions. SocratesGPT?
It's great video. Thank you for sharing. However , I have a question about "How to action when output isn't finished ?" It would be great ,if someone can help me on this.
Another great video 🙏 ! In a future video can you expand on showing how to incorporate other AI API services? You touched on this subject briefly in previous videos on how each AI system API can leverage on one each other to produce the best results. Seems like LangChain NeuralSeek would be perfect for this. Maybe a LC and NS combo vide?
Dope video! Thanks for keeping it quick and spicy, I learned heaps mate I'm curious about indexes but not sure the value add? I'm excited to build an app to simplify nutrition tracking using cronometer. It's a pain to type everything in all the time and figure out measurements. I'd love the leverage this to do that for me
Ayyyyy Spenny! Indexes allow you to add your own data to the LLM chain. You could bring in your own chronometer measurements into the pipeline for example if you had them stored in word or CSV.
What about using GPT-3/4 to give you a response based on your own previous multiple responses (database) without hallucinations from just fine-tuning, and maybe even ask some questions if needed (and reply in a conversational way)... For example, User input: Hey Man, I need your help: Which route do I take to go to the bank? Context answer 1: If you're on foot take x route, A2: Take route Y by car, Chatbot reply: Things are good! How are you planning to go there, on foot or driving, John? and so on... Do you have a video on how to do this? Is it even possible?
Curious about maintaining confidentiality though with the autogpt stuff. My main concern with using gpt for anything serious is leaving any potentially sensitive information while working on creative projects or research projects. I you could adopt this to work with more localized models, but most of us don't have machines capable of that even with these 3rd party llms.
Hey, would it also be possibel to adjust the prompt to something like "create a youtube title and a fitting sctript for {input}" instead of using a sequential chain? If yes why would you still use a sequential chain, is it cheaper or more efficient or whats the point? Thanks in advance.
Hi Nicholas, I am restarting my development journey after a decade.. Your videos are really inspirational and easy to follow, thanks for this. I had one query, how do I import the langchain documentation in VSCODE so that it auto completes python imports and code?
Yeah I noticed some other weird things in the library along the way. That being said it is moving very fast so my guess is that it'll keep changing and getting better!
In the scenario of conversational robots, how to limit the token consumption of the entire conversation? For example, once the consumption reaches 1,000, it will prompt that the tokens for this conversation have been used up.
The pace of this video is perfect. You gave a pace that was fast enough to cover a lot of ground in a short period of time for the "watch through" understanding, but not so crazy that it is difficult to pause when you're trying to follow along with code. This was the first of your videos I watched, and it had me checking out some of your older stuff. Your older stuff definitely isn't to this same level, but it all seems like things where you've improved over time. I've subscribed, and I'm looking forward to future videos.
Thanks so much D. That's exactly what I was hoping to hear! I really started taking content continuous improvement seriously these last couple of months. Just feeling out what's working, this video has been one of my favourites I ever produced!
I second this. I too could pause the video, write the code and un-pause it easily. Really like the pace.
I'd love to see a video on indexes! I think thats a very powerful tool for integrating LLMs into an existing data-based application
On the way soon!!
Not sure about that - indexes need to index the data, any data based application will outdo that faster than you can realize. THAT SAID: ChatGPT-4 is able to use tools and such a tool can be an API to access a database. I had a nice discussion with ChatGPT about OData - can fully use it. So, use the indices for i.e. the employer handbook and the documentation where to find stuff, then use tools to access this stuff. No need to load all the data in to the ai, particularly data that changes frequently (i.e. orders in an online shop), stick to the regulations the AI needs to know that are static (i.e. goods return policy).
bhai khuud bna yyar mujhai ek hindi mai ayesa channel chahiye
@@ThomasTomiczek awesome insight here. Thanks! 🙏🏾🏆🔥
Yes index extension of this project would be great and using functions. Many thanks
Some constructive feedback: would love to see an example of the app in action before you dive into building the code for it. Video jumps straight to code before we really know what for. That being said, the setting a 15 minute timer and then speaking quickly to respect time is a phenomenal touch (something I’ve never seen done before). Well done man, thanks for the video
This is very good advice
This is true for almost all tutorials like this. I dont know why they dont spend a couple of minutes showing what the end product will be.
Solid feedback, seriously appreciate it. I’ve brought it into some of my more recent vids!
Amazing video and love that you provided the code. This is the furthest I've gotten beyond standard ChatGPT capabilities and since it's mostly one script done in Python instead of Google Collab or Jupter, even better for my local use case. Instant Subscribe and can't wait to see what else you do with LLMs and Langchain.
Glad you enjoyed it @NightSpyder! Plenty more to come, I'm writing up scripts for langchain every morning atm!
@@NicholasRenottehow to install faiss in python ??
Juypyter is python script too noob! Jupyter is an IDE not a language. Python is a language not an IDE. You need a UI or IDE or command line to do python. Even if it is only notepad. Notice the dude isnt running the scripts to show they work in his IDE? why? Because it dont work properly
Seriously such an awesome video. I am glad you didn't stop when the timer did!
That was really interesting to see how to put the pieces together. Your vid gave me a deeper appreciation for how they come together and what they're capable of. Thank you!
Thanks so much @Curious Future! I really wanted to show how to stack all the stuff together and actually show how it use it/make the most of it. Hope that came across!!
I'd love to see a video on indexes
Nic is one of the best youtube tutors out there. i really enjoyed the video just as I like his other videos. It's always remarkable that he teaches such topics with such great ease and understandability, which speak volumes about his skills and knowledge on the subject matter. Thnx Nic
This is super cool. Recently I read entire documentation of LangChain and I can say you literally covered important things in good details.
I have been fighting for weeks just for a simple script like this as my entry point to this tech. Now I can move past this obstacle and onto greater days! Thanks. I learned some coding about 30 years ago so I am learning everything as new again. Happy days!
@nicholas it’s been over 12 years since I’ve coded. I never coded in Python but this video inspired me to get back in and I was able to build your tutorial from scratch! Thank you! 👏🏾
Great video - as usual!
It is mind blowing how python libraries are so powerful - that we can do so amazing POC applications in about 30mins where it would take week of teams work couple years ago... not even talking about NLP part...
Thanks for sharing and motivating me to try it out for some weekend projects!
Kinda crazy right?! Insane what's possible now!
I spent a few hours with you this morning writing my first script. Your script, though I didn't realize you'd be chopping and changing stuff everywhere. I got it in the end and learned lots. Cheers mate
Amazing Video as usual man, really loved to see this and understand how you can do amazing stuff with LangChain. However, the title is a little misleading as I thought it would actually be related to the AutoGPT repo and using langchain with that.
Would love to see more though on langchain, especially indexes
Ah my bad, what AutoGPT does is the same in architecture as what is shown in the vid. That being said when I’m back at my desk I’ll prep a vid that shows the comparisons and how they can work together!
Index code is done, just gotta get back home to make the vid!
Thanks for explanation. Looking forward to it
❤Hey, Nick. Definitely, one of the best tutorials of LangChain! Better than some paid courses! 🎉 Thank you 🙏 As I’m not so versed in Python, I slowed it down to 0.75 speed😂
More video about langchain. You have explained the best out of everyone on TH-cam, cheers mate
Plenty on the way @Steve!!
I'm a absolute noob in coding but you really bring light in the darkness of this world, I just join your course, thank you so much bro!!
Fantastic presentation, so pleased with how you spelled it out for me. I've been scratching my head a little bit with Langchain these past couple of weeks!
I was in the same boat @Paul, tried to break it down as well as I could for people that wanted to build with it!
ditto, i thought i was being a little bit stupid but im glad other find it hard too, gives me a bit of confidence to continue.
@@NicholasRenotte Nicholas, what's your thoughts on system messages? Is it worthwhile using this or just putting your message direct in the prompt template?
Waiting for video on indexes , superb video buddy keep bringing awesome content like this and if possible just take your time and don't rush on topics so that more people can understand well, rest upto you :-)
im a complete beginner with langchain and this was the perfect intro! please keep it coming! 🔥
Thankkkkssssss !! I was looking that tool inside a lot of LLM github projects but not understanding exactly doing what!! Everything makes sense now!!
I think this is my favorite tutorial on all TH-cam. Superb work! Thank you!!
You prompted the script chain with the prompt again rather than the output from the title chain. Very interesting stuff, thanks for the information.
Can you do a video on GPT index and the difference with LangChain?Or how to integrate the two frameworks.
Thank you for the step by step tutorial, as someone who is learning to code this is a highly valuable resource. Please create more content like this relating to AI.
Love your teaching style! I think a quick recap at the end, going through what everything does would be beneficial.
@12:22 in the script_template we define the input prompt as title. This title is the output of the title_template. But, I don't see this being defined. I mean, we haven't explicity said that the output of script_template is title. So then, how does the script_template figure that out?
Hi Nicholas, this was great 😃 I am looking forward to eleminate OpenAI dependency and use llamacpp bindings for local. There are few documentation errors of langchain otherwise I am almost there.
Going to make a vid of how to do it from my hotel room when I land for ya!! It’ll prob be a little shorter but it should set you up to do it!
@@NicholasRenotte yup 😃
Keen on this video too 👍
Beautiful, thanks! Can you do a video on CGPT connection to outside applications, like vscode, word, excel, etc? Similar to what AutoGPT is doing
Great video! I just discovered your channel! Please continue more work like this, because you're approach is very easy to follow and extremely concise!
You got it John, plenty more to come!
I want to build a ChatGPT style bot that I can feed all of my company documents. So I can then ask questions if I need to find quick answers to things. How can I do that?
This is one of the best videos to understand Langchain, It was perfect for me, thanks.
finally I see a video about langchain straight to the point!
YESSS, stoked you enjoyed it! Wanted to make it as practical as possible, went a little longer than I wanted but 🤷🏽♂️
@@NicholasRenotte It was really great! don't mind how long it would be as long as is well explained
Thanks for the love on the video guys!! Let me know if you have any feedback. Really working on improving the video quality! 🙏
Ive watched many of your videos now and i gotta say you are a great teacher and im so glad you do these videos :) big thank you and greetings from germany! I Learned so much valuable Information i cant thank you enough :))))
Awesome content. Definitelly interested on the indexing.
Thanks a mil, you got it, starting planning on it now!
Just found your channel. Epic content brother. Thanks for taking the time to share! Can you show how us how we would actually upload something like this to a website (as opposed to being on your localhost)?
Wonderful Tutorial! Clear and concise. Gg as always Nick 🤞. Waiting for more LLM content.
🙏🏽 thanks so much, plenty more inbound!
You are awesome. Thank you. Love the little cuts and analogies. Well done mate.
Stoked you enjoyed it @Everett. Tried to visually explain a little more than usual, hopefully that came through!
@@NicholasRenotte 1000%
Nice vedio Sir can you create a Full End to End Real world Problem based Langchain Application please.
This is really incredible. Amazing work. Super simple to follow along with! I’m going to do this tutorial after work
Awesome, let me know how you go with it Christopher! Thanks for checking it out 🙏
Thank you for the really amazing video. I would love to see a video about indexes in LangChain too! It must be a very powerful tool right now.
You got it!
Ideally, the ultimate tutorial is to fully use a hugging face LLM that is fully offline from OpenAI. Love this video, but that is going to be the game changer for AI that all the big players are probably freaking out about.
why because everything hosted there is oss?
@@jonassteinberg3779 I was thinking more on the lines of creating tangible assets that boost productivity so that labor can capture it before fortune 500 try to siphon away wages to capture the productivity like they did in the 80s. If labor is thought as a commodity, and an offline LLM that you personally own guarantees results in productivity in your workflow, it would force employers to have to pay higher salaries for the output. That is if economic theory on ownership of assets holds true in the US and is not just ignored.
@@goonie79 ah, okay. yes I get the sentiment. not sure what to say there. anything is possible!
Wow your teaching skills are amazing
Thanks a mil @MehDii!
Hi Nicholas ! Can you make a video about application of deep learning on medicine ( like how to create a cure for diseases etc )
Thanks 😊
Just found your videos, finding them so beneficial, I’ve subbed my friend, looking forward to diving into your content
Amazing content. Just subscribed. Best wishes from New Delhi, India
I realized that the complete generated script is not shown if the script is too long. Did anyone find a way to "continue" the script generation?
Not sure if the pace or how well you discuss the why of things but i finally get it as a non dev person
Awesome crash course! Thanks so much!🙏🏾✌🏿🔥🏆
Amazing video! Thanks you so much Nicholas.
Wow, this is amazing! Save tons of time and easy to understand. Well done Nicholas!
Glad you enjoyed it @Meta Intelligence!!
Damn, another video in my todo list.
Awesome crash course guide!
YESS, let me know how you go with it @Md!
Thank you very much for your sharing, it has given me a lot of inspiration. I am currently preparing a programming assistant for a software. I have prepared 10 sample programs and stored them in a JSON file. I hope that users can ask questions using the chatbot and get relevant responses. However, I am facing several issues at the moment:
1. I am struggling with how to upload the JSON file to Vetor Store. Currently, my approach is to convert the JSON into a CSV file, but this method is not yielding satisfactory results compared to directly uploading the JSON file using relevanceai.
2. In my own setup, I am using openai's GPT3.5 along with Pinecone and openai embedding. These configurations are similar to relevanceai except for Pinecone. Should I consider switching to another vector store?
Can you use pinecone for vector database and other agents in future and of course a small chat UI in react if possible ❤
Yup, I started prepping for this recently just got sidetracked. Will get back to it!
@@NicholasRenotte Milvus would be a cool option too for people who want localized. You're an incredible teacher. You're the first person I've ever seen who teaches the way I actually learn. Thank you!
I’m hyped for this one! Exactly what I needed.
Much needed
This is great, still trying to understand embeddings and indexes, so yes, please do a video on them!
Really great..surely need video on index
You got it @Ronak!!
I hear cartman, me heinnnyaaa, you theinnnya.
...Though, Awesome, insightful and Efficient content, Kudos!!!
We got issue about information security and can't use openAI service. Can you advise some open source models to replace OpenAI but have acceptable accuracy? We tried LLaMA, Vicuna, Koala but they are not good enough
Great work Nicolas, very clear explanation and easy to follow.
Fantastic video. If you decide to do a follow on video, I'd like to see the next step being using vector databases/stores and creating a ChatGPT web app that can answer questions from a collection of PDF or Microsoft Word or HTML documents. i.e. Summarize documents , rewrite documents, or answer questions based on the contents of documents.
dude your face doesn't match voice at all,
your video's cool man helped me create myself a game development helper
do you need to buy credits with openai for this? I'm just a student trying to make a small project, and I'm getting rate limit errors?
I have no clue about programming but i learned quite a few things from this video so thank you very much!
Amazing video, everything was well explained and the result was awesome, thank you so much!
Before watching your video I was actually worried LangChain is a useless wrapper. Thanks to you I see it can be used as intended.
this guy is a legend. How did I not know about him earlier.
Hey Nick, can you make a playlist of best practices for prompt engineering?
Not sure if you are aware, the "Get the Code" link takes me to a different project about LipNet but i manage to find the right repository in your account.
Video on pulling data from internal private sources (Slack, Atlassian, Salesforce) probably via API for text summarization and topic linking!
As always the best crash courses ! 💪🏻
Cheers Kev!! 🙏
Hey Nicholas, super and clear I really like your videos, and easy to understand the logic behind them. Thank you so much!
Would love to see indexes. Possibly larger memories like a couple of philosophy books and semantic search. Associating some context to user input and answering some cool questions. SocratesGPT?
Awesome, thanks. As a beginner in python, this was super helpful.
Excellent video! Very helpful and love how it's structured. Thanks so much for making it!
Awesome man. Please do Indexes as well
You got it!
Just a quick cleanup pointer :) . The description of the video has the link to the old LipNet repo as well
Ah damn, good pickup. I’ll clean it up!
It's great video. Thank you for sharing.
However , I have a question about "How to action when output isn't finished ?" It would be great ,if someone can help me on this.
Great video, langchain appears to be the solution to a LOT of the issues I'm currently facing. I definitely want to see a video with the indexes!
You got it @KJ! Thanks for checking out the vid!
Another great video 🙏 ! In a future video can you expand on showing how to incorporate other AI API services? You touched on this subject briefly in previous videos on how each AI system API can leverage on one each other to produce the best results. Seems like LangChain NeuralSeek would be perfect for this. Maybe a LC and NS combo vide?
Dope video! Thanks for keeping it quick and spicy, I learned heaps mate
I'm curious about indexes but not sure the value add?
I'm excited to build an app to simplify nutrition tracking using cronometer. It's a pain to type everything in all the time and figure out measurements. I'd love the leverage this to do that for me
Ayyyyy Spenny! Indexes allow you to add your own data to the LLM chain. You could bring in your own chronometer measurements into the pipeline for example if you had them stored in word or CSV.
Please do make video on the indexes as well. Thank you so much for this video too.
All planned! Code is done just gotta record! Tysm for checking it out!
What about using GPT-3/4 to give you a response based on your own previous multiple responses (database) without hallucinations from just fine-tuning, and maybe even ask some questions if needed (and reply in a conversational way)...
For example, User input: Hey Man, I need your help: Which route do I take to go to the bank? Context answer 1: If you're on foot take x route, A2: Take route Y by car, Chatbot reply: Things are good! How are you planning to go there, on foot or driving, John? and so on...
Do you have a video on how to do this? Is it even possible?
Just wish you wouldn't let yourself be restricted by the artificial 15 minute shenanigans 😊 awesome video!
Amazing! Best 27mins
so cool, so clear! thank you a lot! looking forward to your indexes video~
Thanks for awesome tut!!!
Cheers @Bhavesh!
Curious about maintaining confidentiality though with the autogpt stuff.
My main concern with using gpt for anything serious is leaving any potentially sensitive information while working on creative projects or research projects.
I you could adopt this to work with more localized models, but most of us don't have machines capable of that even with these 3rd party llms.
Hi Nicholas, this was great 😃
Omg this was exactly what I was looking for. More please :)
Always loved you man.
DIEGOOOO!! Thanks a mil homie!
@@NicholasRenotte Your channel grew so much its great to see, what a time to be alive and learn data science. 🙌
LangChain Index!!!! (Please!)
You got it!!! On the way.
@@NicholasRenotte waitinggg
Dude your the best doing it right now
Simply awesome. Thanks for making this.
Great video I followed step by step and it was really helpful in understanding how to develop with Langchain. Did you do a video about indexes?
Excellent job and very useful. Thank you! Liked and subscribed.
Hey, would it also be possibel to adjust the prompt to something like "create a youtube title and a fitting sctript for {input}" instead of using a sequential chain? If yes why would you still use a sequential chain, is it cheaper or more efficient or whats the point?
Thanks in advance.
Hi Nicholas, I am restarting my development journey after a decade.. Your videos are really inspirational and easy to follow, thanks for this. I had one query, how do I import the langchain documentation in VSCODE so that it auto completes python imports and code?
Great work. Weird how sequentialchain doesn’t have run method.
Yeah I noticed some other weird things in the library along the way. That being said it is moving very fast so my guess is that it'll keep changing and getting better!
Wow!! Really Good Explaining, Very interested learn more about it
In the scenario of conversational robots, how to limit the token consumption of the entire conversation?
For example, once the consumption reaches 1,000, it will prompt that the tokens for this conversation have been used up.