The MAD Podcast with Matt Turck cover image

Making AI Work: Fine-Tuning, Inference, Memory | Sharon Zhou, CEO, Lamini

The MAD Podcast with Matt Turck

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Enhanced Model Accuracy Leading to New Use Cases

The model was customized to recognize specific month representations accurately, leading to a new level of accuracy in machine learning models tailored to specific companies. This breakthrough opens up possibilities for new use cases that were previously impossible, with reduced costs and latency, promising a significant return on investment. Despite being computationally intensive, the advancements in accuracy and feasibility are paving the way for more efficient memory tuning processes in the field of machine learning.

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