diff --git a/README.md b/README.md index 6c27566da..ef1a3f04d 100644 --- a/README.md +++ b/README.md @@ -15,13 +15,6 @@ Decades of technological advancements have led to small teams being able to do i Yet, the AI apps currently being pushed out still mostly feel and perform like demos. -The consensus is, nevertheless, that the AI space is *the* place to be in 2023. - -> “The AI Engineer [...] will likely be the **highest-demand engineering job of the [coming] decade.”** -> - -**[Swyx](https://www.latent.space/p/ai-engineer)** - 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. 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.