Episodes (Page 13)
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Introduces Stable-SCore for stable 3D shape correspondence.
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Presents ProjectEval for benchmarking LLM code generation agents.
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Framework for embodied AI agent confidence in dynamic environments.
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VLMs playing StarCraft II with multimodal decision benchmark.
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M-Attack: effective attacks against strong vision-language models.
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Deep learning for inverse design of RF circuits.
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Simon Willison's guide on coding with LLMs for developers
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Vision-R1 extends reasoning capabilities to multimodal models with visual inputs
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OWL: Optimized Multi-Agent Assistance for task automation.
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Episode: Generalized Kullback-Leibler Divergence Loss for Enhanced Learning
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Unsloth simplifies LLM fine-tuning with LoRA/QLoRA for beginners.
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Episode: Introducing the New PyTorch Landscape
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Deep learning designs complex RF/sub-terahertz circuits rapidly.
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Monocular depth estimation improved using unlabeled data.
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MHA2MLA fine-tunes LLMs for efficient MLA architecture.
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SWE-RL uses reinforcement learning for software engineering LLMs.
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Amazon uses SAT solving to optimize quantum circuit mapping.
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LM Studio SDKs enable local AI integration via Python/TypeScript.
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AI agents, DeFi, and decentralized virtual ecosystems explored.
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LLMs playing Among Us and The Chameleon Game to study strategic behavior