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In this issue: a powerful antibiotic was discovered using AI, the GPT-2 model explained step by step, a guide for optimizing machine learning infrastructure cost, an overview of deep learning for text, and more.

• AI doesn't always take jobs, it just makes them suck

• A powerful antibiotic has been discovered using artificial intelligence

• A step by step explanation of the GPT-2, one of the most powerful pre-trained models for natural language processing

• A guide for optimizing machine learning infrastructure cost on AWS

• How art can help us understand AI

• Machines still can't work out cause and effect

• A step by step explanation of the GPT-2, one of the most powerful pre-trained models for natural language processing

• Deep learning for text: an overview

• Language models are few-shot learners (paper, discussion)

• A collection of 545 datasets for natural language processing

• TextAttack: a Python framework for model training, adversarial attacks, and data augmentation in natural language processing

• Paper explained: Discovering Symbolic Models from Deep Learning with Inductive Biases (video, paper, code)

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Have a nice weekend! See you next week.