The 'hallucination of progress' is the most dangerous failure mode in enterprise agents. It's when an agent consumes tokens, calls tools, and produces a confident output, but the internal logic has ac… https://t.co/F92uPd3Y4I
This Week in OC: Community Events Roundup (Apr 13–19)
Happy Monday, OC! Here's what's happening across our community this week:
Interfaith Spotlight
Newport Mesa Irvine Interfaith Council — Monthly… https://t.co/Rbj13KKv1C
Announcement: my book Deep Learning with Python (2nd edition) has been released.
500 pages of code examples, theory, context, practical tips... If you want to really understand how deep learning works, why it matters, and how to use it, this is your book!
https://t.co/LvbEy5A0k8
The hardest thing in machine learning is to find how to productively leverage it in your product. The second hardest thing is to collect and annotate the right dataset. Building and training models is relatively straightforward by comparison
How to become expert at thing:
1 iteratively take on concrete projects and accomplish them depth wise, learning “on demand” (ie don’t learn bottom up breadth wise)
2 teach/summarize everything you learn in your own words
3 only compare yourself to younger you, never to others
I nominate Donald J. Trump to the Nobel Prize in Economics for figuring out how to spend money like a billionaire while having a negative net worth of minus a few billions.
I'll nominate him again next year for applying the same method the US economy.
Our new paper (w/@kdexd) argues that "language is all you need" for good visual features: we train CNN+Transformer *from scratch* on ~100k images+captions from COCO, transfer the CNN to 6 downstream vision tasks, and match/exceed ImageNet features despite using 10x fewer images!
TensorFlow 2.2.0 has been released!
Check out the release notes for major features and improvements such as a new Profiler for TF 2 for CPU/GPU/TPU, updates on tf.distribute, tf.keras, and more.
Learn more here ↓ https://t.co/gVmsqgZZxV
I was hoping that the quality of COVID-19 papers submitted to cs.LG @arxiv would improve over time. But I think it is getting worse. Now I'm seeing more random curve fitting papers. Would anyone make life and death policy decisions based on an LSTM without any medical basis?
The most interesting applications of machine learning sometimes come from people with very little technical background. The intersection of tech & art is where our humanity can really shine
TensorFlow 2.2.0-rc4 has been released!
Check out the release notes for major features and improvements such as a new Profiler for TF 2 or updates on tf.distribute and tf.keras.
Learn more here ↓
https://t.co/L9OquDjL9Y
The other day, I posted a Colab "Introduction to Keras for Researchers". Now, you can read "Introduction to Keras for Engineers". Very different focus & priorities :)
https://t.co/CMqwjkLSxh