머신러닝_MachineLearning_AI/머신러닝_MachineSyntax_기초상식
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How Comcast improved real-time call response:머신러닝_MachineLearning_AI/머신러닝_MachineSyntax_기초상식 2024. 10. 1. 09:24
How Comcast improved real-time call response: (6M calls/month using GenAI & NLP) This infographic breaks down the challenge, approach, results and more. GenerativeAI https://www.threads.net/@lewxventura/post/DAjAWtCxFzQ/?xmt=AUFiTXFmS25hUGVzUGg5MDBEX1Y5VWFyMl9VNVFSa1lnX0YwWEtMN1l3OFow Threads의 𝙇𝙚𝙬𝙞𝙨 𝙒𝙖𝙡𝙠𝙚𝙧(@lewxventura)님How Comcast improved real-time call response: (6M calls/month using GenAI & ..
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Deep Learning] Weight Standardization (+ 2D, 3D 구현 방법)머신러닝_MachineLearning_AI/머신러닝_MachineSyntax_기초상식 2023. 6. 8. 13:52
https://eehoeskrap.tistory.com/m/516 [Deep Learning] Weight Standardization (+ 2D, 3D 구현 방법)Weight Standardization Paper : arxiv.org/abs/1903.10520 Micro-Batch Training with Batch-Channel Normalization and Weight Standardization Batch Normalization (BN) has become an out-of-box technique to improve deep network training. However, its effectiveneseehoeskrap.tistory.com