Machine Learning Community ⭐️

@c4ml_ · joined 10 Jul 2022

Follow for Actionable tips, Best Resources and Daily content on Python, Data Science & Machine Learning. 🚀

12 779Followers

729Following

1 212Posts total

20.9KViews on collected posts

Posts recentes

Machine Learning Community ⭐️@c4ml_7 Mar

99.16% Accuracy on DocVQA: New state-of-the-art for document understanding! https://t.co/nLfkswehSe 347 views · 3 likes · 1 reposts · 0 replies Open on X →

Machine Learning Community ⭐️@c4ml_7 Mar

99.16% Accuracy on DocVQA: New state-of-the-art for document understanding! We ran ADE on the DocVQA validation split and got 5,286 correct out of 5,331 questions. That's 99.16% accuracy. DocVQA is a question-answering benchmark on real scanned documents. It's typically used to 5.7K views · 27 likes · 5 reposts · 4 replies Open on X →

Machine Learning Community ⭐️@c4ml_2 Mar

MiniMax released MaxClaw! It's OpenClaw + Minimax M2.5, cloud-hosted with zero setup. This is a detailed complete guide on how you can set it up and using it for automated research workflows. 609 views · 7 likes · 0 reposts · 0 replies Open on X →

Machine Learning Community ⭐️@c4ml_2 Mar

https://t.co/wOZWfvBKSC 13K views · 86 likes · 17 reposts · 3 replies Open on X →

Machine Learning Community ⭐️@c4ml_28 Feb

AI assistant that runs on $10 hardware with <10MB RAM! PicoClaw is an ultra-lightweight personal AI assistant that runs on devices OpenClaw and Clawdbot can't touch. 100% Open Source https://t.co/Sfsg0zOqgY 408 views · 7 likes · 1 reposts · 1 replies Open on X →

Machine Learning Community ⭐️@c4ml_27 Feb

Turn your laptop into a powerful RAG system! LEANN can index and search through millions of documents while using 97% less storage than traditional solutions without accuracy loss. 100% Open Source https://t.co/jP4oqVCQHJ 394 views · 9 likes · 0 reposts · 0 replies Open on X →

Machine Learning Community ⭐️@c4ml_23 Feb

Graph-based RAG with dual-level retrieval! LightRAG is an open-source RAG framework that builds knowledge graphs from documents and uses dual-level retrieval to answer both specific and conceptual queries. 100% Open Source https://t.co/agpSIoS1Jk 402 views · 9 likes · 1 reposts · 0 replies Open on X →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

40223 Feb

39427 Feb

40828 Feb

13K2 Mar

609

5.7K7 Mar

347

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

2.49%23 Feb

2.28%27 Feb

2.21%28 Feb

0.83%2 Mar

1.15%

0.68%7 Mar

1.15%

Reactions — likes, reposts, replies and quotes — divided by views.

What the audience does

Likes70.8%148 in total

Reposts12.0%25 in total

Replies3.8%8 in total

Quotes2.4%5 in total

Bookmarks11.0%23 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Posts recentes

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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