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cs.AI2024
Towards Data-Centric RLHF: Simple Metrics for Preference Dataset Comparison
Judy Hanwen Shen, Archit Sharma, Jun Qin
The goal of aligning language models to human preferences requires data that reveal these preferences. Ideally, time and money can be spent carefully collecting and tailoring bespo…
cs.AI2024★ 4 cited
Apple Intelligence Foundation Language Models
Tom Gunter, Zirui Wang, Chong Wang +152
We present foundation language models developed to power Apple Intelligence features, including a ~3 billion parameter model designed to run efficiently on devices and a large serv…