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We introduce Shakti, a 2.5 billion parameter language model specifically optimized for resource-constrained environments such as edge devices, including smartphones, wearables, and IoT systems. Shakti combines high-performance NLP with optimized effi
Externí odkaz:
http://arxiv.org/abs/2410.11331
Autor:
Rajeswari Kr Kruthika
Publikováno v:
Indian Journal of Public Health Research & Development.
Class imbalance is an issue that naturally occurs when a database is sparse or incomplete. This can occur in medical diagnostics when a large percentage of tests ran to return negative results rather than a positive. Classifification models are sensi