🐥Large Language models like GPT-3 are powered by sophisticated transformer architectures, enabling them to understand and generate human like text by capturing the patterns and contextual relationships in data.
🐥For Day 24, I created a baseline model for a linear classifier for a supervised sentiment analysis in a ternary label setting (positive, negative, neutral) using dynasent test sets from Hugging face.
🐥This will serve as my baseline to compare the result with a more modern mode using transformers which use fine tuning pre trained components. I used the BERT mini for this task.
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