[Long Review] Fully Sharded Data Parallel: faster AI training with fewer GPUs
Training a billion-parameter speech or language model on a modest GPU budget used to mean picking your poison across pipeline parallelism, tensor parallelism, …
[Short Review] Fully Sharded Data Parallel: faster AI training with fewer GPUs
Fully Sharded Data Parallel is Meta's answer to a question every speech and language team eventually asks: how do we train models an order of magnitude bigger …
[Long Review] Deduplicating Training Data Makes Language Models Better
Deduplication sounds boring until you learn that a single 61-word sentence appears more than 60,000 times inside C4, and that language models trained on such c…
[Short Review] Deduplicating Training Data Makes Language Models Better
How much of your language model's "generalization" is actually just regurgitation?
[Long Review] CLAS: Deep context: end-to-end contextual speech recognition
Anyone who has shipped an ASR product knows the pain of proper nouns: contact names, song titles, medication names, obscure place names.
[Long Review] Hurdles to Progress in Long Form Question Answering
Long-form question answering is one of those benchmarks that looks impressive on the leaderboard and disturbing under a microscope.
