AI at Meta’s Post

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

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Jason Brown

Director at Call2Recycle, Inc.

1w

You need to define the Y-axis.

Sam Johnston

AI Leader · CEO/CTO · MBA · Founder · Xoogler

1w

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).

ᴛᴏʟʟʏ ( ͡° ͜ʖ ͡°)

husband • dad • dev • former teacher • ceo of htmx • neovim btw

1w

imagine not labeling your graph axes......tsk tsk tsk

🦁 Omar K.

Providing innovative modernization solutions to global companies. artificial intelligence, AI, cloud computing, cybersecurity, dynamic business apps, e-commerce.

1w

👍🏼

Jason L.

Cross Asset | Cross Function | AI Developer | MLOps | Generative AI | Deep Reinforcement Learning

1w

Thanks for sharing. Good to see some validation of SLM Small Language models capabilities + Good data engineering!

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Impressive cost-effectiveness and adaptability of EON-8B showcase LinkedIn's AI innovation.

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José Huaylinos

Biomedical Engineer | Healthcare Management | AI |

1w

llama 3.1 8B is bad

Andrew Zang, Esq.

Responsible A.I. Innovator / Corporate Real Estate Advisor / Top Recognized Conversational A.I. Human Reviewer /

1w

Dominating GPT for sure! 🫶

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