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Dive into the most groundbreaking ideas presented at #NeurIPS #2024! 🚀 We’ll explore ten cutting-edge areas: 1- Autonomous driving advancements, from BEV to RL vs imitation learning. 2- Data and evaluation breakthroughs for foundation models—scaling, RMSNorm, and more. 3- The latest transformer architectures like SwiGLU and warmup strategies. 4- Pre/Post-training LLM optimization techniques and benchmarking. 5- Sequential modeling insights for time series and finance. 6- RAG innovations like Lamma Stack and RagChecker. 7- Optimization papers with practical algorithms for scalability. 8- RL trends tackling offline learning and generative trajectory augmentation. 9- Vision updates, from SAM2 to multi-modal contrastive learning. 10- Distillation strategies and understanding distribution shifts. Stay until the end to uncover surprising takeaways and what these mean for the AI future. Like, share, and subscribe to stay ahead! 🌟 #AI #NeurIPS2024 #machinelearning Related links: Join my AI newsletter: https://upaspro.com/newsletter/ More information: https://upaspro.com/top-10-topics-of-... ⌚️Timestamps: 00:00 - Teaser 01:26 - Channel welcome 02:56 - 1- Autonomous driving 04:16 - 2- Data and evaluation 07:03 - 3- Transformer 09:27 - 4- Pre/Post-training LLM 19:51- 5- Sequential modeling 22:53 - 6- RAG and AI agent 24:16 - 7- Optimization 25:11 - 8- Reinforcement learning 29:11 - 9- Computer Vision 30:28- 10- Others 34:14 - Outro