Python Langchain Tutorial: Use 3 Different LLMs in 10 Mins

[@Midnightmicroscope]

Fantastic video! I would love more tutorials about setting this up on a local LLM. I love the example used in this video but I don’t like the idea of having to send bank statements to LLMs in the cloud. 😅

[@pixegami]

Good call out. I'm looking at doing something like that for my next video :)

[@c4rb0nx16]

@pixegami TBH this channel got me so much interest and motivation to do something new and your contents are really impressive. 🔥

[@pixegami]

Really glad to hear that! Thank you, and good luck :)

[@raonitimo23]

Excellent video and content in general. I'll leave an idea: do a similar video on funcchain, it's a pythonic library that encapsulates some of the langchain complexities.

[@NathanSTLPillai]

"Nvidia Inference Microservice" demo will be a good addition

[@pixegami]

I haven't looked into that yet, but thanks for the suggestion :)

[@NathanSTLPillai]

Excellent video. What developer tools need to develop these applications ? In general for GenAI development.

[@sshlich]

Vector databases, embeddings, langchain, cloud computing (aws, gcp)

[@bec_Divyansh]

Would love to see how huggingface can be used here. If possible please drop a video describing it, thanks!

[@glenilame9910]

when you do the export command what is supposed to happen? I am tangled with this. When I try to invoke the llm it does not work because there is something wrong with what you called enviroment variable. Please help

[@botondvasvari5758]

and how can I use big models from huggingface ? I can't load them into memory because many of them are bigger than 15gb, some of them are 130gb+ . Any thoughts?

[@rossholland879]

hey man ! Please do a tutorial on LLM agents and using a custom APi as a tool

[@pixegami]

It's a good idea. Thanks for the suggestion :)

[@dxb526]

Langchain is a great tool but is there any use to it if I will only use one LLM i.e., GPT?

[@Amr-Ibrahim-AI]

yes. It streamlines writing applications that use LLMs. It's true that you can do everything without LangChain, but using it would make your life much easier

[@pixegami]

Yup, it gives you a lot of boilerplate utilities like templates, chains, and a bunch of other integrations.

[@papalikedrawing]

Thank you very much

[@pixegami]

You're welcome!

[@shahnaz9026]

you didn't use azure open ai llm because most of the companies using closed openai like azure so.. We can learn azure open ai services so create video with azure open ai llm with multimodal support rag application ( input multiple pdfs with images and tables and text) and integrate with streamlit.. post the vdo by using azure open api key Azure open ai embedding and azurechatopenai for multiple pdfs rag application.. Using azure open api end point there are no videos on KZbin so it would be helpful.. 😊

[@bukitsorrento]

LLM datasette

[@bukitsorrento]

Phidata!

[@bukitsorrento]

Magentic