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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 preprint - A Generative Approach for Wikipedia-Scale Visual Entity Recognition
arxiv preprint - Self-correcting LLM-controlled Diffusion Models
arxiv preprint - tinyBenchmarks: evaluating LLMs with fewer examples
arxiv preprint - Asymmetry in Low-Rank Adapters of Foundation Models
arxiv preprint - When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
arxiv preprint - EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
arxiv preprint - The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
arxiv preprint - Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models
arxiv preprint - LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
arxiv preprint - Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
arxiv preprint - SciMON: Scientific Inspiration Machines Optimized for Novelty
arxiv preprint - Speculative Streaming: Fast LLM Inference without Auxiliary Models
arxiv preprint - LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models
arxiv preprint - UPAR: A Kantian-Inspired Prompting Framework for Enhancing Large Language Model Capabilities
arxiv preprint - Guiding Instruction-based Image Editing via Multimodal Large Language Models
arxiv preprint - Spectral State Space Models
arxiv preprint - More Agents Is All You Need
arxiv preprint - World Model on Million-Length Video And Language With RingAttention
arxiv preprint - Learning Video Representations from Large Language Models
arxiv preprint - Can Large Language Models Understand Context?
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