Excellent. Langchain is so dope ! I've been doing a lot of those things manually for some side projects recently but the community here is really taking it to the next level to speed up building :) Thanks for the intros, the videos are well made.
Great stuff James! Something for you to consider for the recordings though - while I appreciate the zoom-in to your notebooks, it creates a pretty jerky experience when you scroll across it, or when it generates responses which moves text etc. I would try zooming out a bit
There's a product that launched recently called brilliant monocle . It claims to be an open source AR device. It's pretty obvious that the direction this is going is an AI that can see what you see and act as an assistant/private tutor. Would love to see open AI tools like CLIP Get integrated with a cheap AR technology soon.
hello, great video thanks - only manage now to walk through the course. i like the idea of software generation through langchain. nevertheless, which measures could we implement, that the code does not do any harm and does not create any vulnerabilities.
Excellent. I've learned from your videos. Thanks. I have a question about the example at 2:21. I got a warning message -- "LangChainDeprecationWarning: The class `LLMChain` was deprecated in LangChain 0.1.17 and will be removed in 0.3.0." Currently, the llm_chain = LLMChain(...) case should be replaced with llm_chain = llm | prompt_templat. Is it correct?
Thanks James for all these videos. Is it possible to do zero shot classification using a Langchain and LLM where I have a question, input_text and list of options?
they come from different angles, langchain focusing on LLM components, haystack on information retrieval - but now added LLM features I think haystack is great I used them for a long time, their information retrieval pipelines are more mature. However, I haven't used their agent-like tooling yet, but I plan to try it out soon
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Pleaaase create more videos about LangChain this is incredible!!!!
Excellent. Langchain is so dope !
I've been doing a lot of those things manually for some side projects recently but the community here is really taking it to the next level to speed up building :)
Thanks for the intros, the videos are well made.
yeah langchain is epic, happy it's helping!
u.r a gem , your videos deserves more like than they have,Thank you for such a great content.
Thanks James for the fantastic content. It's well balanced and timely..
glad it's helping
LangChain has changed since I created this video, to import the LLMChain you now need:
```
from langchain import LLMChain
```
Great stuff James! Something for you to consider for the recordings though - while I appreciate the zoom-in to your notebooks, it creates a pretty jerky experience when you scroll across it, or when it generates responses which moves text etc. I would try zooming out a bit
thanks for the input! I'll find a better balance between zoom + being less jerky
@@jamesbriggs in VSC the whole code would look better, what do you think?
Excellent explanation!!!
Glad it was helpful!
There's a product that launched recently called brilliant monocle . It claims to be an open source AR device. It's pretty obvious that the direction this is going is an AI that can see what you see and act as an assistant/private tutor. Would love to see open AI tools like CLIP Get integrated with a cheap AR technology soon.
that looks pretty cool, I'll look into it would be a great project
True that. I am currently working on building a GPT tutor for one of my courses in my university.
hello, great video thanks - only manage now to walk through the course. i like the idea of software generation through langchain. nevertheless, which measures could we implement, that the code does not do any harm and does not create any vulnerabilities.
Excellent. I've learned from your videos. Thanks.
I have a question about the example at 2:21. I got a warning message -- "LangChainDeprecationWarning: The class `LLMChain` was deprecated in LangChain 0.1.17 and will be removed in 0.3.0."
Currently, the llm_chain = LLMChain(...) case should be replaced with llm_chain = llm | prompt_templat. Is it correct?
Thanks James for all these videos. Is it possible to do zero shot classification using a Langchain and LLM where I have a question, input_text and list of options?
Again, great stuff! Thank you
Thanks again!
Very neat video - thanks!
very nice explaination
thanks!
Great stuff, thanks!
Glad you liked it!
Is there any way around the phone number verification for signing up with OpenAI?
What are the associated costs?
Cool content! What do you use to create your graphics, or where do you find them
hey Luke! Typically excalidraw, for video there's also some editing w/ davinci resolve
I tried llmmathchain with mistral it didn’t worked . It gave something output parser error?
Thank you for the great video! What does verbose signify?
tells the function to print out all of the steps that are being taken, purely for our own understanding of what is going on
@@jamesbriggs Thank you!
How does this compare to Haystack which has been around for years?
they come from different angles, langchain focusing on LLM components, haystack on information retrieval - but now added LLM features
I think haystack is great I used them for a long time, their information retrieval pipelines are more mature. However, I haven't used their agent-like tooling yet, but I plan to try it out soon
GPT + Bash Execution + Websites describing Priviledge Escalation = Skynet
I LIKE THAT