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hyper. ai > ja > papers > 2604. 06268

RAGEN-2 Agentic RL'Reasoning Collapse" | "

18+ hour, 13+ min ago  (121+ words) RAGEN-2 Agentic RL'Reasoning Collapse'hyper. ai By identifying template collapse as a failure mode where agentic reinforcement learning models adopt input-agnostic reasoning patterns despite stable entropy, the RAGEN-2 study proposes using mutual information proxies for diagnosis and introduces SNR-Aware Filtering to…...

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hyper. ai > en > stories > 2f397698d74bf3afa0939292d4820555

Python guide uses time-to-event models to forecast customer lifetime | Trending Stories

1+ day, 7+ hour ago  (738+ words) Survival analysis, originally developed for medical research to model patient lifespans, has evolved into a powerful statistical tool for predicting time-to-event outcomes in business domains such as customer retention and employee churn. Unlike standard regression models that struggle with ongoing…...

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hyper. ai > en > stories > b6d83c6f977129069314e9f203cb2405

3 ways to build AI agents with Claude | Trending Stories

1+ week, 1+ day ago  (692+ words) Anthropic has introduced three distinct paradigms for building AI agents, signaling a shift away from a single, unified orchestration model. Unlike many platforms that standardize on one framework, Anthropic offers diverse approaches tailored to different developer personas, including product engineers,…...

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hyper. ai > en > stories > 6c5f6992fa918d4a8301f29226fa3b97

Building production-grade Py Torch DDP multi-node training | Trending Stories

1+ week, 6+ day ago  (759+ words) Developers scaling machine learning models often struggle when moving from single-GPU training to multi-node environments due to fragmented tutorials and complex engineering requirements. A new comprehensive guide addresses this by providing a production-grade, multi-node training pipeline built from scratch using…...

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hyper. ai > en > papers > 2602. 20502

Action Engine: From Reactive to Programmatic GUI Agents via State Machine Memory | Papers

1+ mon, 1+ week ago  (248+ words) Action Engine: From Reactive to Programmatic GUI Agents via State Machine Memory'hyper. ai Action Engine: From Reactive to Programmatic GUI Agents via State Machine Memory Hongbin Zhong Fazle Faisal Luis Fran'a Tanakorn Leesatapornwongsa Adriana Szekeres Kexin Rong Suman Nath Existing…...

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hyper. ai > en > stories > 9a63b884e0f0a5891c960f3ee7115d11

Keysight Launches AI/ML Toolkit to Speed Up Semiconductor Device Modeling and PDK Development | Trending Stories

2+ mon, 3+ week ago  (732+ words) Keysight Technologies, Inc. (NYSE: KEYS) has announced the release of a new Machine Learning Toolkit within its Device Modeling Software Suite, marking a significant advancement in semiconductor design and development. The toolkit, integrated into Device Modeling MBP 2026, leverages artificial intelligence…...

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hyper. ai > en > papers > 2601. 06021

Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards | Papers

2+ mon, 4+ week ago  (148+ words) Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards The authors use C-GRPO to train deep search agents and show that it significantly outperforms GRPO and E-GRPO baselines across all benchmarks. Results show that C-GRPO…...

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hyper. ai > en > notebooks > 48484

circuit-sparsity: Open AI's New Open Source Sparse Model

3+ mon, 5+ day ago  (44+ words) hyper. ai Circuit Sparsity: Open AI's New Open Source Sparse Model Build AI with AI From idea to launch " accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs....

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hyper. ai > en > notebooks > 48240

Maya1: Highly Realistic Emotional Voice Generation Service

3+ mon, 2+ week ago  (42+ words) hyper. ai Maya1: Highly Realistic Emotional Voice Generation Service Build AI with AI From idea to launch " accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs....