Clustering sentence embeddings to identify intents in short text
The unsupervised learning problem of clustering short-text messages can be turned into a constrained optimization problem to automatically tune UMAP
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7 Considerations Before Pushing Machine Learning Models to Production
Machine learning models are not deterministic: if you train a neural network twice using the same data and the same
Lire la suiteAlphaStar: Grandmaster level in StarCraft II using multi-agent reinforcement learning | DeepMind
https://deepmind.com/blog/article/AlphaStar-Grandmaster-level-in-StarCraft-II-using-multi-agent-reinforcement-learning
Lire la suiteTIL: 1.4 Million Jupyter Notebooks
https://koaning.io/til/2021-10-12-many-notebooks/
Lire la suiteDeep Neural Networks and Tabular Data: A Survey
Heterogeneous tabular data are the most commonly used form of data and are essential for numerous critical and computationally demanding
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MIT’s Automatic Data-Driven Media Bias Measurement Method Achieves Human-Level Results
Today more than ever, people are voicing concerns regarding biases in news media. Especially in the political arena, there are
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Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, the World’s Largest and Most Powerful Generative Language Model – Microsoft Research
Published October 11, 2021 By Ali Alvi , Group Program Manager (Microsoft Turing) Paresh Kharya , Senior Director of Product
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Attention with linear biases: Code for our ALiBi method for transformer language models.
This repository contains the ALiBi code and models for our paper Train Short, Test Long. This file explains how to
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A step-by-step guide in designing knowledge-driven models using Bayesian theorem.
Data is the fuel for models but you may have witnessed situations where there is no data but solely a
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Another JupyterLab Extension You Should Know About
Mito is a fre e JupyterLab extension that enables exploring and transforming datasets with the ease of Excel. Mito is
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