Introduction to DistilBERT in Student Model: This article was published as a part of the Data Science Blogathon. Source: Canva Introduction In 2018, GoogleAI researchers released the BERT model. It was a fantastic work that brought a revolution in the… https://
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RESEARCH
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DistilBERT Student Model: Introduction and Key Concepts
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LLMs: A Distraction from True AI Solutions
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LLMs are a plot to get humans off track from solving AI.
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AI Commodification of Brilliant Writing and Novel Ideas
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What if AI turns brilliant writing containing new ideas into a commodity?
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The Turing Test: Measuring AI Deception Ease
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The Turing test is a test of how easily you’re fooled by AI.
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Biological Plausibility of Models: From LSTMs to Transformers
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When people bring up how the human brain works just like a Transformer, I remember those simpler times when people argued for the biological plausibility of LSTM (back when a stack of LSTM layers trained with deep RL seemed like the golden path to AGI). https://arxiv.org/abs/1604.06635
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Intelligence May Prove Simpler Than We Currently Believe
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When we’ve finally figured out intelligence, we’ll be shocked by how trivial it is.
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Transformers Scale Arithmetic Rather Than Performing Algebra
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Transformers are like scaling up arithmetic instead of doing algebra.
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Language Models Need Acoustic Models to Match Reality
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The original language models were only half of a speech recognizer, whose function was to produce coherent text. The other half was the acoustic model, whose function was to ensure the text corresponded to reality. We forget the latter at our peril.
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Three Fundamental Laws of Machine Learning
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The three laws of machine learning:
1. No free lunch
2. More is different
3. Correlation is not causation