Episodes (Page 5)
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Introduces STREAM3R for scalable, streaming 3D reconstruction.
Causal Transformer
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Presents Yan-Sim, an interactive generative video framework.
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Examines AI 'scheming' research, drawing parallels to ape language studies.
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Introduces NextStep-1, an autoregressive model for text-to-image generation.
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STREAM3R uses causal Transformers for scalable 3D reconstruction from image streams.
Causal Transformer
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GLM-4.1V-Thinking and GLM-4.5V are new vision-language models for multimodal reasoning.
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DINOv3 is a self-supervised learning model for robust visual representations.
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Compares OpenAI's GPT-5 and xAI's Grok 4, highlighting AI development.
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Hugging Face transitions from Git LFS to Xet-backed storage for large files.
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Channel-wise MLPs in recurrent convolutional networks improve generalization.
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Fine-tuning custom embedding models enhances Retrieval-Augmented Generation (RAG) performance.
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AdLlama uses Reinforcement Learning with Performance Feedback (RLPF) to boost ad CTR.
Reinforcement Learning
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Overview of machine learning: supervised, generative, and kernel methods.
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Mixture-of-Recursions (MoR) enhances large language model efficiency.
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Proposes an alternative machine learning paradigm using Hilbert spaces.
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Introduces Meta CLIP 2 for training worldwide image-text CLIP models.
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Explores In-Context Learning (ICL) in Large Language Models.
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Introduces GLM-4.5 and GLM-4.5-Air, open-source MoE LLMs.
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Presents RLVMR for verifiable meta-reasoning in AI agents.
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Discusses GPT-5 advancements in coding, writing, and health.