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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 - Long Story Short: a Summarize-then-Search Method for Long Video Question Answering
arxiv preprint - System 2 Attention (is something you might need too)
arxiv preprint - DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
arxiv preprint - KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
arxiv preprint - Language Model Inversion
arxiv preprint - Tree Prompting: Efficient Task Adaptation without Fine-Tuning
arxiv preprint - Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens
arxiv preprint - Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning
arxiv preprint - RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
arxiv preprint - SliceGPT: Compress Large Language Models by Deleting Rows and Columns
arxiv preprint - Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video
arxiv preprint - MambaByte: Token-free Selective State Space Model
arxiv preprint - Lumiere: A Space-Time Diffusion Model for Video Generation
arxiv preprint - Self-Rewarding Language Models
arxiv preprint - Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
arxiv preprint - MoVQA: A Benchmark of Versatile Question-Answering for Long-Form Movie Understanding
arxiv preprint - Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
arxiv preprint - Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
arxiv preprint - Time Travel in LLMs: Tracing Data Contamination in Large Language Models
arxiv preprint - InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes
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