TOOL LLM for API calls explained

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Goal is to achieve a similar API performance by smaller LLMs as compared to ChatGPT's tools performance.

Arxiv pre-print (all rights with authors):

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I will come back to this video in 5 years to show my kids what google looked like before AI killed it

verasalem
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May be slightly misleading if you dont consider the size of these models. Biggest Llama is 65B while smallest ChatGPT (3.5-turbo) is 154B!

shashankpathak
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nice research!!!
I am always a fan of you.

chenkiwi
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Thanks for this nice break-down. I'm curious to know: do they do that only for clickbait or just ignorance/laziness? It doesn't favor the LLM. Paradoxically: Your video made me want to test the LLM more than their videos probably would. Knowing that it is probably close to GPT-3.5 is a better selling statement to me than "mmm... this beats GPT4", "this changes everything", etc, etc.

MrMiguelChaves
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Thanks once again… you keep things honest 😂

arundona