Sublime
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François Chollet’s core point: We can't measure an AI system's adaptability and flexibility by measuring a specific skill.
With unlimited data, models memorize decisions. To advance AGI we need to quantify and measure ***skill-acquisition efficiency***.
Let’s dig in👇 https://t.co/Y3GjoG9n4e
PyTorch, Langchain, RAG, Tensorflow.
Most DS/MLE job descriptions require you to have these skills. But no one will ask you how to write a few lines of code in Langchain or PyTorch during interviews.
They will ask you about
- Backpropagation rather than... See more
Saankhya Mondalx.comDevelopment / Machine Learning
Yehezkel Lipinsky • 2 cards
AI is creating the biggest opportunity to create wealth in history, and some startups are taking advantage of it. | Guillermo Flor
linkedin.com
You won’t be replaced by AI. You will be replaced by the person who knows how to harness AI.” – Li Fan
Future-Ready: Thriving in the Age of AI
Holistic, systems thinking is a quality needed in any complex operation.
Joseph Aoun • Robot-Proof: Higher Education in the Age of Artificial Intelligence
TikTok just open-sourced their recommender system framework (Monolith) -- and it uses Keras
This means that nearly all the major recommender systems in the industry are built on Keras -- YouTube, TikTok, Spotify, Snap, X/Twitter, and many more (Grubhub...)
François Cholletx.comdeep learning
Prashanth Narayan and • 4 cards

2024 physics laureate Geoffrey Hinton used a network developed by his co-laureate John Hopfield as the foundation for a new network: the Boltzmann machine. This can learn to recognise characteristic elements in a given type of data.
The Boltzmann machine can be used to classify images or create new examples of the type... See more