Large Language Model: world models or surface statistics?
A mystery Large Language Models (LLM) are on fire, capturing public attention by their ability to provide seemingly impressive completions to user prompts (NYT coverage). They are a delicate…
More from The Gradient (sigmoid.social/@thegradient)
The Future of Speech Recognition: Where Will We Be in 2030?
The last two years have been some of the most exciting and highly anticipated in Automatic Speech Recognition’s (ASR’s) long and rich history, as we saw multiple enterprise-level fully neural network…
Reinforcement learning’s foundational flaw
By definition, learning from scratch is just about the least sample-efficient approach there can be.
New Datasets to Democratize Speech Recognition Technology
MLCommons.org introduces two new public datasets for speech recognition. The People’s Speech is the first large-scale, permissively licensed ASR dataset that includes diverse speech and environments.
NLP's Clever Hans Moment has Arrived
A review of Timothy Niven and Hung-Yu Kao, 2019: Probing Neural Network Comprehension of Natural Language Arguments
AI and the Future of Work: What We Know Today
One of the most important issues in contemporary societies is the impact of automation on human work. With AI becoming ever more advanced, what will its impact on automation be?
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