AI Research

AI & ML Research Papers

A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.

All Papers

2 papers

ConferenceMinds and Machines2020

GPT-3: Its Nature, Scope, Limits, and Consequences

Luciano Floridi, Massimo Chiriatti

This commentary analyzes GPT-3's nature using reversible/irreversible questions, shows it fails mathematical, Turing, and ethical tests, and argues it is not general AI.

2.5kNov 1, 2020

ConferenceNeurIPS 20202020Featured

Language Models are Few-Shot Learners

Tom B. Brown, Benjamin Mann, Nick Ryder, et al.

Showed that scaling language models to 175 billion parameters (GPT-3) enables in-context learning — performing new tasks from just a few examples in the prompt, without fine-tuning.

28kMay 28, 2020Large Language ModelsFew Shot Learning

arXiv