Transformers have been a game changer in many artificial intelligence fields, including natural language processing (NLP), computer vision, video and audio processing, and even other disciplines, such as chemistry and life sciences. BERT, RoBERTa, DeBERTa, GPT-3, Transformer XL, DALL.E, HuggingFacePegasus, Self-AttentionCV, etc are some of the popular transformer libraries and frameworks.
Lately, transformers (aka X-formers) have piqued the interest of researchers and developers for their efficiency, generalisation and adoption.
In a recent paper, 'A Survey of Transformers,' researchers from the Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, China and School of Computer Science, Fudan University, China, gave a comprehensive overview of various
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Amit Naik
Amit Raja Naik is Senior Editorial Producer – Live Shows at AIM Network, driving India’s most influential AI and technology conversations. He leads content, narrative design, and visual storytelling, engaging with leaders, innovators, and policymakers to advance how technology impacts businesses, governance, and society.
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