zhiminy (Zhimin Zhao)

reacted to their post with 🤗 3 months ago

Post

2234

Hey everyone,

We're thrilled to introduce our latest project: a hand-curated list of the best production-level machine-learning open-source toolkits! 🚀

Check it out here: zhiminy/Awesome-Production-Machine-Learning-Search

posted an update 3 months ago

Post

2234

Hey everyone,

We're thrilled to introduce our latest project: a hand-curated list of the best production-level machine-learning open-source toolkits! 🚀

Check it out here: zhiminy/Awesome-Production-Machine-Learning-Search

reacted to their post with 😎 8 months ago

Post

797

Hey everyone,

We're thrilled to introduce our latest project: a hand-curated list of the best-curated lists related to artificial intelligence! 🚀

Check it out here: https://github.com/zhimin-z/awesome-awesome-artificial-intelligence

posted an update 8 months ago

Post

797

Hey everyone,

We're thrilled to introduce our latest project: a hand-curated list of the best-curated lists related to artificial intelligence! 🚀

Check it out here: https://github.com/zhimin-z/awesome-awesome-artificial-intelligence

reacted to their post with 👀 8 months ago

Post

1998

Hey everyone!

Our team just dropped something cool! 🎉 We've published a new paper on arxiv diving into the foundation model leaderboards across different platforms. We've analyzed the content, operational workflows, and common issues of these leaderboards. From this, we came up with two new concepts: Leaderboard Operations (LBOps) and leaderboard smells.

We also put together an awesome list with nearly 300 of the latest leaderboards, development tools, and publishing organizations. You can check it out here: https://github.com/SAILResearch/awesome-foundation-model-leaderboards

If you find it useful or interesting, give us a follow or drop a comment. We'd love to hear your thoughts and get your support! ✨

Link to the paper: https://arxiv.org/abs/2407.04065

posted an update 8 months ago

Post

1998

Hey everyone!

Our team just dropped something cool! 🎉 We've published a new paper on arxiv diving into the foundation model leaderboards across different platforms. We've analyzed the content, operational workflows, and common issues of these leaderboards. From this, we came up with two new concepts: Leaderboard Operations (LBOps) and leaderboard smells.

We also put together an awesome list with nearly 300 of the latest leaderboards, development tools, and publishing organizations. You can check it out here: https://github.com/SAILResearch/awesome-foundation-model-leaderboards

If you find it useful or interesting, give us a follow or drop a comment. We'd love to hear your thoughts and get your support! ✨

Link to the paper: https://arxiv.org/abs/2407.04065

Zhimin Zhao PRO

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