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Full-stack approach for effective AI agents
Practical AI: Machine Learning, Data Science, LLM
Specialized and specialized models over size
The focus is on adapting, specializing, and making models more specialized for specific tasks rather than just increasing their size. By training models on specific data and tasks, they can outperform larger models because they are more familiar with the data. In this approach, the quality of data is crucial rather than just the sheer size of the model. Specialized models can be more efficient for specific tasks, and the emphasis is on making them very useful and specialized for practical purposes.
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