The technical report discusses the multilingual E5 text embedding models released by Microsoft. The models are trained using contrastive pre-training on a billion multilingual text pairs and then fine-tuned with…
Continue readingThe article provides an in-depth analysis of In-Context Learning (ICL) and Supervised Fine-Tuning (SFT), two predominant methodologies in machine learning. The authors highlight a common problem with these methods: overconfidence…
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