Building LLM Agents with Tool Use

[@mailmahee]

Fantastic, thanks for the explanation Jay! Relevant for several use-cases...

[@SerranoAcademy]

Great video on LLM tool use, thanks Jay!

[@icapservices1536]

Great example thanks Jay 😃

[@connor-shorten]

Love this explanation! Incredible work as always!

[@abdeljalilelmajjodi4954]

thank you Jay for this beautiful explanation

[@RakeshGupta-ft6cc]

Does the agent use an LLM to determine the steps? Can you cover these internal details?

[@itsSandraKublik]

Wonderful walkthrough! 😍

[@moabdelmoez]

@Jay, Thank you for the explanation. I found the Colab link is not working, Can you share the updated link, please?

[@arp_ai]

Thanks for the heads up! Updated!

[@sanesanyo]

Hi Jay, great video. What if the user wants to also provide his/her own data and ask questions related to that, which might also require outside world knowledge (this web search as a tool might still be useful)?

[@arp_ai]

Yeah, should also be possible. The web search is just an example.

[@mehmetbakideniz]

would be better if you could explain the code line by line instead of just mentioning briefly what they are doing. Great video otherwise. I learn alot from your videos.

[@liorbalmas1260]

Can Tools work only with Langchain? If not, a more general example would be nice..

[@arp_ai]

Langchain is the suggested method now for Command R+, yeah. What other frameworks do you find relevant here?

[@AP-hv5dh]

🔥🔥🔥

[@AP-hv5dh]

Outstanding Jay!

[@raxcoins]

pls hire me.

[@MDSujonMia-c4j]

😮