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K-Nearest Neighbours (KNN) is a simple and intuitive supervised machine learning algorithm that makes predictions based on how similar things are to each other. They can be used for classification and
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Interesting papers that won the 2025 NeurIPS best paper awards: 1. Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond) This paper discusses how LLMs are ”losing“ creativi
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MIT researchers just showed that you can delete 90% of your network without losing accuracy. They call the Lottery Ticket Hypothesis, and it demonstrates that within a large, randomly initialized neu
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Most ML systems are built around a single modality. A language model reads text, an image classifier looks at pictures, and a speech recognizer processes audio. Multimodal Large Language Models (MLLM
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Overfitting in AI happens when a model learns the training data too closely, capturing noise instead of the true underlying pattern the model is trying to learn. Imagine we have data data that follow
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Learn AI concepts, simply. Join 8000+ Others in our Visually Explained Deep Learning Newsletter. Get your weekly AI breakdown (link in bio). Neural networks are computational models inspired loosely
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Visualizing LLaMA 3.2 LLM helps make its behavior more intuitive: each token is turned into a high-dimensional vector, and layers of connections transform these vectors as they pass through the networ
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Hopfield networks are one of the earliest forms of neural networks, introduced by John Hopfield in the 1980s. They are one of the first recorded recurrent networks where every neuron is connected to
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A convolution filter works by sliding a small grid of weights across an image. We can visualize this with an MNIST digit, in this case the number 6, and compute a weighted sum at each position. As t
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Linear regression is one of the simplest and most fundamental machine learning algorithms, used to model the relationship between inputs and a continuous output by fitting a straight line (or linear f
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Grokking was discovered by accident when researchers noticed a surprising pattern while training neural networks. After a model had nearly perfect training accuracy, its performance on new, unseen da
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When you watch a neural network fit a curve, you’re really watching it learn step by step how to map inputs to outputs. Imagine we give it simple features, like x-values, and ask it to predict y-valu
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About @aibutsimple

AI • Machine Learning • Tech is a Instagram macro influencer. With 259.4K followers and 12 posts, aibutsimple's account shows a follower-to-following ratio of N/A:1. This profile has significant reach and engagement potential for brand collaborations. View all content anonymously on Pictame - no login required.

aibutsimple's engagement rate sits at 2.46%. That's 37% above what you'd typically see for accounts with 100K-500K followers (average 1.8%) — a sign of a genuinely connected audience.

Out of the last 12 posts, 75% are videos and 25% are photos. Content shows up about every 26 days. Captions lean detailed, averaging 1363 characters.

2.46% engagement rate — 37% above average for 100K-500K follower accounts.
Posts about every 26 days.

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@aibutsimple

AI • Machine Learning • Tech

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Posts
12
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259.4K
Top Hashtags
#machinelearning#datascience#deeplearning#dataanalytics#coding#math#computerscience#ml

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#food#followme#photo#music#viralreels#life#ootd#motivation#friends#fun#like4like#me
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