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Love how pragmatic and concise this was! A lot of the videos out there go into a lot of theory, or try to add more layers like langchain. But this was straight to the point, which is what I needed

Great video!🎉 How did you connect your chromadb URL? I have it on running docker. Also I dont see ollama url, did you have a .env file? I don't see a dontev package

Is there a repo available?

where can i find the slide ?

i think you can get to the point more quickly, but nice video idea 👍

Thanks for the explanation! Can you share your code?

The only thing is that when we pass a function to llama and the user asks unrelated questions, it doesn't give any response in the "content". Basically content is always empty when you pass a function which is annoying.

Thanks bro

Glad your survived

harder better faster stronger

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its taking shape!

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Weekly dose of yap

Very Insightful!👍👋!

Can you share the repo link?

It's good to hear someone else talking about the seemingly plateauing of the transformation architecture with LLM performance. We recently posted a conversation I had with Kirk Marple of Graphlit, and we're seeing the exact same behavior. It's funny, because we even talked about the same exact experience with Claude 3 Opus! Glad to hear we're not allow in what we're seeing!

Well said!

Lol 0:33

Yap

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The future is here

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well done handsome 🔥🔥🔥

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can i use the same code for a excel data ?

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Begun, the AI Hardware Wars has. -- Yoda, 22 BBY

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Grok has essentially no guardrails and the sky hasn't fallen, so maybe people are just worrying too much.

Hi Sanjay, can you share the steps how local LLM doing this (share main.py)

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Thanks for the tutorial!

awesome

Very cool!

That is the question

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Making AI to interact with the real world! Is this skynet v 0.01? Thanks for the cautionary statements such as " we don't want to accidentally arm LLMs to delete our entire system systems" or " It is scary to give entire control to an LLM"😂

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You seem like a cool character… Respect

Straight to the point, I like it, thanks!

Loved this! It felt genuine and grounded just as when I'm talking to AI peers at uni. Hope you do more!

here before Sanjay gets famous

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Good work!