Ep 12. Data too Big for LLMs? Try Scratch Pads
Ғылым және технология
Want to connect large language models to your databases? Well, you’ve got a problem because the LLM can only handle a small amount of data. Fortunately in this video you’re about to learn a solution: LLM scratch pads.
Watch this video next: Ep 3. This is the Killer App of Enterprise AI: hubs.ly/Q02d4thd0
And this one, Ep 5. How to Overcome LLM Context Window Limitations: hubs.ly/Q02d4vsd0
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Пікірлер: 5
Very intersting. I've used OpenAI LLM API and I was thinking of something like that. Tool calling is very powerful, the only notion to add is to tell LLM its result is not given there, but it's stored in a variable named "A" and it can use it when it wants. It's very powerful because there's no data loss like with context-fill. We use the analytics capabilities of LLM... Thanks !
Just so you know, the youtube algorithm recommended your video. Whatever you're doing, you're doing it right ^^. Good job, you explain things very clearly. This pipeline reminds me of that voyager paper, where a LLM plays minecraft with a set of code tools that itself develops. It would be interesting to see how the toolbox grows (what tools are in it) when you ask for a set of complex instructions related to your big data database.
@prolegoinc
9 ай бұрын
Thank you! Indeed, the toolbox is becoming amazing
Not valid anymore with the new GPT models.
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