MIT Researchers Introduce a Novel Machine Learning Approach in Developing Mini-GPTs via Contextual Pruning

In recent AI advancements, optimizing large language models (LLMs) has been the most pressing issue. These advanced AI models offer unprecedented capabilities in processing and understanding natural language, yet they come with significant drawbacks. The primary challenges include their immense size, high computational demands, and substantial energy requirements. These factors make LLMs costly to operate […]

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