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SQuARE: Towards Multi-Domain and Few-Shot Collaborating Question Answering Agents

ODSC - Open Data Science

Are you curious about explainability methods like saliency maps but feel lost about where to begin? Plus, our built-in QA ecosystem , including explainability, adversarial attacks, graph visualizations, and behavioral tests, allows you to analyze the models from multiple perspectives. Don’t worry, you’re not alone! Euro) in 2021.

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DL4Proteins Notebook Series Bridging Machine Learning and Protein Engineering: A Practical Guide to Deep Learning Tools for Protein Design

Marktechpost

It explains how CNNs utilize convolutional layers to extract spatial features from input data. It explains the core principles behind AlphaFold, including its reliance on deep learning and the use of multiple sequence alignments (MSAs) to predict protein folding.

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68 Summaries of Machine Learning and NLP Research

Marek Rei

link] Proposes an explainability method for language modelling that explains why one word was predicted instead of a specific other word. Adapts three different explainability methods to this contrastive approach and evaluates on a dataset of minimally different sentences. Computational Linguistics 2022.

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What if AI treats humans the way we treat animals?

Flipboard

The scientific method has not figured out how to explain consciousness, as O’Gieblyn points out. We’re kind of at the point where we can make fire but do not even have the rudiments of what we’d need to understand it,” my friend Luke Gessler , a computational linguist, told me.

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AI2 at ACL 2023

Allen AI

options that were not); 2) evaluate the quality of that caption by scoring it more highly than a lower quality option from the same contest; and 3) explain why the joke is funny. Cartoon by Drew Dernavich, winning caption by Bennett Ellenbogen. Do Androids Laugh at Electric Sheep?

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A Gentle Introduction to GPTs

Mlearning.ai

It combines techniques from computational linguistics, probabilistic modeling, deep learning to make computers intelligent enough to grasp the context and the intent of the language. As explained earlier, to get a better and robust model it has to be trained on large dataset.

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What is Machine Translation? A Comprehensive Business Guide

Defined.ai blog

In this guide, we’ll demystify it, explaining how it works, its advantages, and how to implement it effectively in your company. Machine translation is a subfield of computational linguistics that uses software to translate text or speech from one language to another. This is precisely where machine translation steps in.