2018 Clustering Support Vector Machines 
Mlearning.ai
APRIL 8, 2023
The earlier models that were SOTA for NLP mainly fell under the traditional machine learning algorithms. These included the Support vector machine (SVM) based models. 2018) “ Language models are few-shot learners ” by Brown et al. 2020) “GPT-4 Technical report ” by Open AI.
Mlearning.ai
JUNE 8, 2023
Sentence embeddings can also be used in text classification by representing entire sentences as high-dimensional vectors and then feeding them into a classifier. Clustering — we can cluster our sentences, useful for topic modeling. The article is clustering “Fine Food Reviews” dataset. The new model offers: 90%-99.8%
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