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In this episode, we discuss Welcome to the Era of Experience by David Silver, Richard S. Sutton. The paper discusses the forthcoming era of artificial intelligence marked by agents with superhuman capabilities. These agents will primarily learn through experience. The note highlights the essential features that will characterize this new phase in AI development.
Arxiv Paper - Video Instruction Tuning With Synthetic Data
Arxiv Paper - Generative Agent Simulations of 1,000 People
NeurIPS 2024 - Moving Off-the-Grid: Scene-Grounded Video Representations
Arxiv Paper - Qwen2-VL: Enhancing Vision-Language Model’s Perception of the World at Any Resolution
Arxiv Paper - FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality
Arxiv Paper - Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
Arxiv Paper - Long Context RAG Performance of Large Language Models
Arxiv Paper - NVLM: Open Frontier-Class Multimodal LLMs
Arxiv Paper - ColPali: Efficient Document Retrieval with Vision Language Models
Arxiv Paper - Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models
Arxiv Paper - Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization
Arxiv Paper - Unbounded: A Generative Infinite Game of Character Life Simulation
Arxiv Paper - Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can’t Answer?
Arxiv Paper - LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
Arxiv Paper - When Does Perceptual Alignment Benefit Vision Representations?
Arxiv paper - SceneCraft: Layout-Guided 3D Scene Generation
arxiv preprint - A Tale of Tails: Model Collapse as a Change of Scaling Laws
arxiv preprint - Thinking LLMs: General Instruction Following with Thought Generation
arxiv preprint - Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
arxiv preprint - F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching
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