Названия:
ADVANCEMENTS IN AI: VEHICLE DETECTION AND NEXT-WORD PREDICTION IN TEXT GENERATION
Автор:
Shanazarov Allaberdi, Rahmanova Tuvaktach, Rahman Myradov, Sapartach Hojabalkanova
Расположение страниц:
337-343
Язык:
Английский
Аннотация:
Artificial Intelligence (AI) has made substantial strides in two pivotal areas: vehicle detection, crucial for autonomous driving, and next-word prediction, which underpins modern natural language processing (NLP) systems. This paper reviews the technological advancements in these domains, particularly focusing on the algorithms and machine learning models driving progress. In vehicle detection, deep learning frameworks such as convolutional neural networks (CNNs) have significantly improved real-time object recognition in diverse environments. For text generation, models like GPT-3 have set new standards in natural language understanding and generation, offering transformative applications in digital communication. While both fields have made tremendous progress, challenges persist in achieving higher accuracy, reliability, and adaptability. This paper discusses both current achievements and the future trajectory of these AI applications.