Build your own Local Mixture of Agents using Llama Index Pack!!!

[@jaivalani4609]

Thanks ,this was in my thoughts way back in May ,thank fully some body implemented it as next step for me :)

[@lrkx_]

Nice. Tutorial, thank you.

[@asrjy]

Great video as always. I have a question. I'm trying to build an RAG that answers questions about a dataset that I have using the create_pandas_dataframe_agent. I also have a long list of sample questions and answers that I want the RAG to imitate but not exactly copy. These questions contain some domain knowledge and I've also added some information about the columns at the end of these sample questions and answers. I'm currently passing this as a prefix parameter but I'm not sure if that's the best way to do this. The idea is to have this pandas agent as something that can answer questions that don't require pandas as well. What's the best way to build this? Thanks in advance!

[@bilaljamal-e1t]

Fantastic. Thanks so much , l have an issue for some reason getting this error Round 3/3 to collecting reference responses. An error occurred:

[@jaivalani4609]

How does it managers the memory when we use multiple LLMs

[@abhisheknema]

Thanks! Which local machine setup you use and which one you recommend?

[@1littlecoder]

i've got a simple Mac with 36GB RAM

[@abhisheknema]

@@1littlecoder thanks, is it M3 pro?

[@1littlecoder]

@@abhisheknema it's M3 Max but Pro should be okay for many use cases

[@abhisheknema]

@@1littlecoderappreciate your quick response. Any throttling issues while working with big llms like mixtral8x7b (28gb) for long run if you have 14” version.

[@SonGoku-pc7jl]

thanks! how is title of previous video? i hope for next video of mixture of experts! :)

[@1littlecoder]

Could you elaborate? You mean like mixture of experts with llama index ?

[@Cingku]

Can we customize system prompt for both aggregator and proposers?

[@staticalmo]

On which GPU did the models run? Integrated GPU?

[@1littlecoder]

Yep Integrated. but mostly on CPU