Pietro Lesci
pietrolesci
AI & ML interests
Parameter- and data-efficient fine-tuning of large language models (keywords: active-learning, data subset selection, meta-learning).
Organizations
Papers
2
spaces
1
models
11
pietrolesci/bert-base-uncased_mnli_53fb0761e0
Updated
•
1.86k
pietrolesci/bert-tiny_mnli_cdc7ea0d50
Updated
•
102
pietrolesci/pythia-14m_2024-01-17T00-07-52
Updated
pietrolesci/gpt2_wikitext-103-raw-v1_L2-H4-E256-C256
Updated
pietrolesci/gpt2_wikitext-2-raw-v1_L2-H4-E256-C256
Updated
pietrolesci/gpt2-minipile
Updated
pietrolesci/t5v1_1-large-mnli
Text2Text Generation
•
Updated
•
2
•
1
pietrolesci/bart-base-mnli
Text2Text Generation
•
Updated
•
10
•
1
pietrolesci/t5v1_1-base-mnli
Text2Text Generation
•
Updated
•
2
•
1
pietrolesci/t5v1_1-base-mnli_snli_anli
Text2Text Generation
•
Updated
•
2
datasets
38
pietrolesci/pythia-deduped-stats
Viewer
•
Updated
pietrolesci/anchoral-paper-artefacts
Updated
pietrolesci/mnli-embeddings
Viewer
•
Updated
•
12
pietrolesci/mnli-stats
Viewer
•
Updated
•
8
pietrolesci/pile-deduped-subset
Viewer
•
Updated
pietrolesci/wikitext-103-raw-v1_gpt2-20k
Viewer
•
Updated
pietrolesci/minipile
Viewer
•
Updated
pietrolesci/amazoncat-13k
Viewer
•
Updated
•
1
pietrolesci/yahoo_answers_topics
Viewer
•
Updated
pietrolesci/hyperpartisan_news_detection
Viewer
•
Updated