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Modular Deep Learning

Sebastian Ruder

This post gives a brief overview of modularity in deep learning. Fuelled by scaling laws, state-of-the-art models in machine learning have been growing larger and larger. We give an in-depth overview of modularity in our survey on Modular Deep Learning. Case studies of modular deep learning.

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NLP Landscape: Germany (Research & Education)

NLP People

Key areas of their activity include text analytics, machine translation, human-robot interaction , and digital content creation. EDUCATION MSc Cognitive Systems University of Potsdam offers a two-year Master’s program that combines computational linguistics, machine learning, and knowledge representation and reasoning.

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Reward Isn't Free: Supervising Robot Learning with Language and Video from the Web

The Stanford AI Lab Blog

Deep learning has enabled improvements in the capabilities of robots on a range of problems such as grasping 1 and locomotion 2 in recent years. However, building the quintessential home robot that can perform a range of interactive tasks, from cooking to cleaning, in novel environments has remained elusive.

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NLP Landscape: Switzerland

NLP People

Several labs have natural language processing and understanding as research areas such as Artificial Intelligence Laboratory , lead Boi Faltings , the Data Science Lab lead by Robert West and the Machine Learning and Optimization Laboratory , lea d by Martin Jaggi.

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ChatGPT4 still leads ChatBot/LLM Leaderboard

Bugra Akyildiz

The PromptCraft-Robotics repository serves as a community for people to test and share interesting prompting examples for large language models (LLMs) within the robotics domain. Natural language processing (NLP) or computational linguistics is one of the most important technologies of the information age.

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Large Language Models – Technical Overview

Viso.ai

Machine learning especially Deep Learning is the backbone of every LLM. Emergence and History of LLMs Artificial Neural Networks (ANNs) and Rule-based Models The foundation of these Computational Linguistics models (CL) dates back to the 1940s when Warren McCulloch and Walter Pitts laid the groundwork for AI.

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All Languages Are NOT Created (Tokenized) Equal

Topbots

70% of research papers published in a computational linguistics conference only evaluated English.[ In Findings of the Association for Computational Linguistics: ACL 2022 , pages 2340–2354, Dublin, Ireland. Association for Computational Linguistics. Association for Computational Linguistics.