From 23fc3b1b28cb708d144fa20f91b4b459cbb4dba9 Mon Sep 17 00:00:00 2001
From: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
Date: Sat, 26 Aug 2023 17:28:10 +0200
Subject: [PATCH] Update README.md

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 README.md | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/README.md b/README.md
index ef1a3f04d..5d9b6234a 100644
--- a/README.md
+++ b/README.md
@@ -11,11 +11,7 @@ Browsing the database of theresanaiforthat.com, we can observe around [7000 new,
 
 It seems it has never been easier to create a startup, build an app, and go to market… and fail.
 
-Decades of technological advancements have led to small teams being able to do in 2023 what in 2015 required a team of dozens.
-
-Yet, the AI apps currently being pushed out still mostly feel and perform like demos.
-
-The rise of this new profession is perhaps signaling the need for a solution that is not yet there — a solution that in its essence represents a Large Language Model (LLM) — [a powerful general problem solver](https://lilianweng.github.io/posts/2023-06-23-agent/?fbclid=IwAR1p0W-Mg_4WtjOCeE8E6s7pJZlTDCDLmcXqHYVIrEVisz_D_S8LfN6Vv20) — available in the palm of your hand 24/7/365.
+AI apps currently being pushed out still mostly feel and perform like demos.
 
 To address this issue, [dlthub](https://dlthub.com/) and [prometh.ai](http://prometh.ai/) will collaborate on a productionizing a common use-case, progressing step by step. We will utilize the LLMs, frameworks, and services, refining the code until we attain a clearer understanding of what a modern LLM architecture stack might entail.