---
title: "5 Lessons From LinkedIn’s First Foray Into GenAI Development"
url: https://daily.dev/posts/5-lessons-from-linkedin-s-first-foray-into-genai-development-el1lx2whf
source_url: https://thenewstack.io/5-lessons-from-linkedins-first-foray-into-genai-development/
type: article
source: "The New Stack"
published: 2024-05-02T10:09:19.070Z
updated: 2024-05-09T08:43:33.910Z
tags: ["ai", "machine-learning", "genai", "linkedin"]
reading_time: 6
upvotes: 0
comments: 0
language: en
---

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# 5 Lessons From LinkedIn’s First Foray Into GenAI Development

**[The New Stack](https://daily.dev/sources/newstack)** · 6 min read · 0 upvotes · 0 comments

## Summary

Lessons learned from LinkedIn's experience with GenAI development include not charting future progress on early momentum, using RAG to make LLMs work, describing APIs for LLMs, avoiding excessive fragmentation, and addressing the challenge of evaluating GenAI programs.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenewstack.io/5-lessons-from-linkedins-first-foray-into-genai-development/>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#genai](https://daily.dev/tags/genai), [#linkedin](https://daily.dev/tags/linkedin)

[View this post on daily.dev](https://daily.dev/posts/5-lessons-from-linkedin-s-first-foray-into-genai-development-el1lx2whf)
