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I”m not in ML, so excuse this maybe naive question: > get hundreds of LLMs supervising teams of millions of LLMs What does this mean or what can you do with t
by uxcolumbo 4y ago
I”m not in ML, so excuse this maybe naive question:
> get hundreds of LLMs supervising teams of millions of LLMs
What does this mean or what can you do with this setup… do you mean running LLMs in parallel?
- jacquesm 4y agoYes, that's called 'ensembling'. There is a lot of work being done on this kind of solution. One way in which it could work is that you can use multiple models that have been fine tuned for various problems and then use the answer that returns the highest confidence.
- jazzyjackson 4y agoYou can also have adverserial generation where models given different expertises and attitude can go back and forth criticizing each others work
- namaria 4y agoSounds like the 'dead internet' is just around the corner!
- sdenton4 4y agoAsk the LLM to perform a complex task by splitting it into sub tasks to be performed by other LLM instances, then integrate the results...
- shmoogy 4y agoIs this something like langchain is working towards?
- arthurcolle 4y agoAutoGPT, BabyAGI