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Full-stack approach for effective AI agents
Practical AI: Machine Learning, Data Science, LLM
Quality of Data Over Size in Model Training
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Using smaller models trained on high-quality data, such as deep-seak coder, can outperform larger models due to their familiarity with the training data. While having a bigger bag of features is beneficial, the focus should be on the quality of data provided rather than sheer size. Specialized models tuned for specific purposes are more practical and valuable than just focusing on model size. Competition driving technology advancements and cost reductions is encouraged, with an emphasis on effectively utilizing the models for practical applications.
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