David Marx
I love how easy it is to modify an arxiv PDF link into a link to the abstract page. little conveniences like that are how you know the people building the thing use it themselves as well.
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AK
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video

abs: https://t.co/ciMtCZTDw0
github: https://t.co/LrRhCAsprM https://t.co/8a9luPS0ay
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elvis
A Comprehensive Survey of Continual Learning: Theory, Method and Application

We need techniques to empower AI systems with the ability to cope with real-world dynamics. CL is a key area of ML to watch this year. Here is a new survey on the topic.

https://t.co/xS8BYii7Xj https://t.co/zeN3NBsfwX https://t.co/WhdzdxJeIr
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Dan Shipper 📧
RT @CaseyGrisez: As someone prone to pushing too hard, this is gold. Evidence-based and actionable

Kudos and thanks, @danshipper
https://t.co/undHfVKJp2
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Mike Tamir, PhD
Why Business Data Science Irritates Me https://t.co/T6uRuWBjRj
#AI #DeepLearning #MachineLearning #DataScience
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Bojan Tunguz
Creating a gif using variations on a theme in #midjourney. #GIF_BUZZ https://t.co/zxCgnWIoMe
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AK
Debiasing Vision-Language Models via Biased Prompts

abs: https://t.co/JJT8nEXWaV https://t.co/6j7NXweVoZ
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Shushant Lakhyani
RT @shushant_l: 10 AI-predicted new jobs that can be created due to AI advancements (don't miss this):
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CoffeeVectors
RT @key_vfx: testing new FBX importer, solver, noise and other improvements coming soon to #EmberGen https://t.co/5HEp4iCvky
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Aran Komatsuzaki
CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models

Proposes a benchmark named CoderEval of pragmatic code generation.

https://t.co/ihURHu7V0f https://t.co/eI6wpRDoeN
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AK
The Power of External Memory in Increasing Predictive Model Capacity

abs: https://t.co/k8qg7R4gf1 https://t.co/HhxaNmXS5f
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