https://www.linkedin.com/posts/helloashar_ai-deeplearning-generativeai-activity-7418944581091606528-XzoC?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAE-1ZoBN6fDf4c4-AG6JRdo4nKXNrYV99U 1. Barret Zoph: Automating AI and RLHF Zoph’s work moved the industry from hand-designed models to AI-designed architectures and led the "alignment" phase for ChatGPT. Neural Architecture Search with Reinforcement Learning (2016) – The foundational paper for AutoML. Learning Transferable Architectures for Scalable Image Recognition (2017) – Introduced NASNet . Searching for Activation Functions (2017) – Discovery of the Swish activation function. Efficient Neural Architecture Search via Parameter Sharing (ENAS) (2018) – Made NAS computationally feasible. AutoAugment: Learning Augmentation Policies from Data (2018) – Automated data processing. SpecAugment: A Simple Data Augmentation Method for ASR (2019) – Revolutionized speech recognition. Switch Transformers: Scaling to...