Posts Deep Learning

Deep Learning

GPT-3 Overhyped

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As from the very beginning, when it apears, GPT-3 is producing hype. And with a reason: it is the most advanced language model ever built. But, is it overyped? Researchers at Nabla, an AI-enabled healthcare platform, found that GPT-3 lacks the logical reasoning skills to be a useful medical chatbot.What ... Read More
A Great Menthor

A Great Mentor Notes

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“If you think about the most valuable advice I’ve ever gotten from a mentor, it was this: if you’re going to be a coach in any capacity, just make a commitment. Because it takes a lot of work to be good at something you love. You can learn a lot ... Read More
QuantumStat NLP on steroids

QuantumStat: NLP on Steroids

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Introduction Anather post related to NLP and transfer-learning paradigm. Since at least in the after-BERT era it is not preferable to train your own model for anything related to NLP, the normal way of doing things is: Find a model that is already fine-tuned for your purpose, and Use it, ... Read More
zero shot learning

Zero-Shot Text Classification

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Introduction: The stone-age AI Era In the beginning, in the AI stone-age era, you take several thousands of observations and train an old-style fully-connected neural network, And, if you were happy, you would have something useful. That time of training our own neural networks is done a long time ago, ... Read More
Can AI decisions be explained?

Can AI Be Explained – Should This Be Questioned?

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Introduction Can AI be explainable? I seriously doubt 100% AI explainability. Maximum we can expect is to be understood as much as human expert opinion is. And the latter is far from 100% explainable. Let me explain. ML and AI, in general, are taking over more and more activities that ... Read More
bored humans

When Humans are Bored

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In the absence of something cool I could find on the Internet about AI, I’m sharing with you BoredHumans.com. Enjoy 🙂 ... Read More
Rubics Cube

DeepCube

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Remember Rubics Cube? If not, check this out: Now, with Deep Learning hype and Reiforcement learning, we got this: And the result is (ok, maybe there will be some ad at the beginning): Hint: robot solved it in 0.38 secs. ... Read More
nlp, transformers and adapter

AdapterHub: New Kid on the Block for Transfer Learning

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Introduction First, there was a BERT, at least all of this started with it. It is a general-purpose language model, once pre-trained for different languages and in different size variations. If you wanted to use it for some specific task, you should fine-tune it in a way that you take ... Read More