About HASH

This paper explores the potential of GPT-3 to generate initial states for hash-based data structures, such as hash tables and hash maps. We investigate how to use GPT-3 to learn a sequence of operations that can be used to initialize an empty hash table and discuss strategies to improve generalization performance in those tasks. Finally, we evaluate our approach on a set of benchmark datasets and provide an extensive analysis of the performance results.

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