Category: Semi Supervised Learning
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Don’t Waste Your Labeled Anomalies: 3 Practical Strategies to Boost Anomaly Detection Performance
Don’t Waste Your Labeled Anomalies: 3 Practical Strategies to Boost Anomaly Detection Performance A few labels go a long way in anomaly detection The post Don’t Waste Your Labeled Anomalies: 3 Practical Strategies to Boost Anomaly Detection Performance appeared first on Towards Data Science. Shuai Guo Go to original source
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R.E.D.: Scaling Text Classification with Expert Delegation
R.E.D.: Scaling Text Classification with Expert Delegation With the new age of problem-solving augmented by Large Language Models (LLMs), only a handful of problems remain that have subpar solutions. Most classification problems (at a PoC level) can be solved by leveraging LLMs at 70–90% Precision/F1 with just good prompt engineering techniques, as well as adaptive…