updated 1y ago
LLMs, RAG, & the missing storage layer for AI
- There’s a lot of hype around AI, and in particular, Large Language Models (LLMs). To be blunt, a lot of that hype is just some demo bullshit that would fall over the instant anyone tried to use it for a real task that their job depends on. The reality is far less glamorous: it’s hard to build a real product backed by an LLM .
from All the Hard Stuff Nobody Talks About When Building Products With LLMs by Phillip Carter
sari added
On their own, large language models (LLMs) are, to a significant extent, Babel-like. Their latent space can output every possible combination of words. They are capable of creating genius-level sentences—and also false gibberish. And at this point in the lifecycle of this technology, the quality of the results you’re going to get is far higher when
... See morefrom GPT-4: A Copilot for the Mind by Dan Shipper
sari added
- So right now, LLMs (Large Language Models) are all the rage. But in the future, it’s possible that the way we get things done is composing things with a combination of LLMs, SMMs (Small, Mighty Models), agents and tools.
It’s what I call Cognitive Composition (because it sounds cool and I have a longtime love affair with alliteration).
This is how we... See morefrom Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
Nicolay Gerold added