The Race to Make AI Smaller, Smarter
Briefly

The BabyLM Challenge, organized by computer scientists at institutions including Johns Hopkins University and Switzerland's ETH Zurich, is aimed at creating more accessible, intuitive language models, in stark contrast to the race for ever-larger language models undertaken by big tech companies.The goal is to produce a mini-language model using datasets less than one-ten-thousandth the size used by most advanced large language models.
Read at Acm
[
add
]
[
|
|
]