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fast.ai

fast.ai✓ Add us as a preferred source on Google

X @fastdotai
🔄 Data last refreshed 1 month ago
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Followers
128.7K
Posts
369
Following
18
Account age
9 yrs
🎁 Free analysisfor fast.ai

📊 Post performance

63K
Avg views / post
48.9%
Reach vs followers
Oct 2016
On X since

🔥 Top post: New #fastai release: v2.7.12. https://t.co/97fKzjPHeP New Featu · 73.9K views

📊 Activity & format

Posting cadence
0.07 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 0 video · 3 image · 15 text.
Follower / following
7.2K×
Follows 18 back. A strong ratio — an audience that follows them, not a follow-for-follow network.
Verification
✓ X Premium
A paid X Premium (Blue) verified account.

Recent posts

View on X ↗
🔥 Top post New #fastai release: v2.7.12. https://t.co/97fKzjPHeP New Features - PyTorch 2.0 compatibility, thanks to @benjamin_warner - Pytorch 2.0 compiler compatibility, thanks to ggosline - Better version support for `https://t.co/S58jNand3A_empty`, thanks to @benj… 73.9K❤ 54🔁 5
We love hearing these stories about our amazing alumni! :D 63K❤ 95🔁 74 We just released a new version of fastai that's now compatible with the latest @PyTorch 2.2. h/t @benjamin_warner Either: "pip install -U fastai" or "conda install -c fastai fastai" to upgrade. 34.8K❤ 88🔁 69 Anyone got a bit of code that would make it easy to use the Youtube Data API to upload whisper-generated captions directly to Youtube? Feels like this whole process could probably be automated pretty easily! :D ❤ 31🔁 6 New #fastai release: v2.7.5. https://t.co/Hgk4C6aovd New Features - auto-normalize timm models - PyTorch 1.12 support ❤ 47🔁 12 New #fastai release: v2.7.4. https://t.co/hI0MQ4oAqQ New Features - Add `DataBlock.weighted_dataloaders` ❤ 25🔁 3 New #fastai release: v2.7.0. https://t.co/cwLoRQGLN7 Breaking changes - Distributed training now uses Hugging Face Accelerate, rather than fastai's launcher. Distributed training is now supported in a notebook -- see [this tutorial](ht… ❤ 52🔁 12 Chapter 4 of our book (covering the foundations of deep learning) is, for most people, the most challenging. It covers a lot of math and coding concepts very quickly. This series from @strickvl is an amazing resource to help you understan… ❤ 168🔁 28 New #fastcore release: v1.3.27. https://t.co/OznRqDFXzB ### New Features - add loop functions, thanks to @willmcgugan ([#363](https://t.co/EOVp253Pon)) - add `walk` function ([#355]( ❤ 36🔁 6 New #fastcore release: v1.3.21. https://t.co/u4KvxGVUls ### New Features - remove fastai-specific pieces from `Config` ([#334](https://t.co/CllHVYUfvx)) - in `untar_dir` create a directory if there is more than one item in r… ❤ 29🔁 4 We've just released fastai 2.2. This contains some fairly minor breaking changes, which should only impact you if you write your own callbacks, or use custom RNN code. The main feature is improved FP16 training. 1/ ❤ 34🔁 5 @DeepnoteHQ @anthonyagnone We should be very careful of assuming that analyzing this kind of data will help to "fight crime". It can easily lead to a feedback loop in which existing biases in policing methods get amplified. ❤ 28🔁 2

💡 Facts

🗓️Joined X in 2016 — 9 years ago.
👁️Averages 63K views per post.
📤Posts about 0.1× per week.
💬0.13% engagement rate.
🏅Earned the 100K Followers for passing 100K followers.

🕵️ Fake follower check

Estimated
46/100
Fair Credibility score
69%
Mixed Real audience
Medium Fake-follower risk
High Data confidence
  • Est. 69% real, active audience · Medium fake-follower risk.
  • Low engagement (~0.5× of followers engage each post) — a sign of an inflated or inactive audience.
  • Organic base — far more followers than accounts it follows.
  • Verified account.
  • Established account (9+ years old).
  • 0.13% engagement — below the ~14.4% typical for this size.

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

Deep learning R&D: http://fast.ai; Education: http://course.fast.ai; Software: http://docs.fast.ai; Book: http://up.fm/book; @math_rachel @jeremyphoward

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