Open Source AI is driving meaningful outcomes across many different platforms and use cases across communities. With their EON models, LinkedIn is able to serve a wide set of platform-specific use cases — while also improving performance in general categories to drive meaningful outcomes for their work. Through their experimentation, they found EON-8B, a domain-adapted version of Llama 3.1 8B, to be 75x and 6x cost effective in comparison to GPT-4 and GPT-4o respectively. More on LinkedIn's domain-adapted foundation models for their platform ➡️ https://go.fb.me/curuy3
Looking forward to AI at Meta releasing some Open Source AI, because Llama isn't it — the data is the source for AI, and in any case you would need to use a license compatible with the Open Source Definition for it to be considered Open Source (but you know that I'm sure, even if your marketing department doesn't).
imagine not labeling your graph axes......tsk tsk tsk
👍🏼
check out recommendationcrafter.com to see a fun openAi project
Thanks for sharing. Good to see some validation of SLM Small Language models capabilities + Good data engineering!
Impressive cost-effectiveness and adaptability of EON-8B showcase LinkedIn's AI innovation.
llama 3.1 8B is bad
Dominating GPT for sure! 🫶
Looking forward
Director at Call2Recycle, Inc.
1wYou need to define the Y-axis.