PinnedPublished inTDS ArchiveSentence Transformer Fine-Tuning (SetFit): Outperforms GPT-3 on few-shot Text-Classification while…The GPT-n series show very promising results for few-shot NLP classification tasks and keep improving as their model size increases [YK1]…Dec 14, 20217Dec 14, 20217
Scikit-learn vs. Static Embeddings for Text Classification on Google Colab CPU!Recently, Minish Lab’s model2vec demonstrated remarkable speed improvements on CPU, achieving speeds of over 30,000 sentences per second in…Jan 21Jan 21
Zero-cost, ≈Zero inference-time, Zero-shot Financial Sentiment AnalysisHugging Face’s Moritz Laurer demonstrated in a great blog how to utilize pseudo-labeling data to achieve GPT-4 like performance with…Mar 24, 2024Mar 24, 2024
Efficient Text Classification with Intel Neural CompressorIntel Neural Compressor is an open-source Python library for model compression that reduces the model size and increases the speed of deep…Sep 23, 2022Sep 23, 2022
Best Practices for Text Classification with Distillation (Part 1/4) — How to achieve BERT results…May 18, 2021May 18, 2021
Future Directions for NLP in Commercial Environments — Intel AI LabNatural Language Processing (NLP) has made a major leap in the past decade, both in theory and in practical integration into broadly…Mar 28, 2019Mar 28, 2019