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Efficient Hyperparameter Optimization for LLM Reinforcement Learning
arXiv:2606.03073v1 Announce Type: new Abstract: Reinforcement learning (RL) for large language models (LLMs) is highly sensitive to hyperparameter configurations, making hyperparameter optimization (HPO) essential yet computationally expensive. Existing multi-fidelity HPO methods remain inefficient for LLM RL due to the massive model scale and resource-intensive training cycles. In this paper, we propose Joint Fidelity Hyperparameter Optimization (JF-HPO), which simultaneously adapts both...
India moves closer to mega Rafale deal, but will it solve the IAF's fighter shortage?
The Ministry of Defence has issued a Letter of Request (LoR) to France for the procurement of 114 Rafale fighters for the Indian Air Force (IAF). The new Rafale deal, expected to cost Rs 3.25 lakh crore, will be a government-to-government deal between India and France. If the previous deal for 36 Rafale aircraft is to be used as a yard stick then the Indian Air Force is not likely yo get its first Rafale aircraft for at least four years after signing the deal, but since then Dassault's order...
Nvidia Cosmos 3
Physical AI systems must understand the real world before they can act within it. Robots, autonomous vehicles, and smart spaces need to understand what’s happening in their world, predict what’s likely to happen next, and generate actions for specific environments, embodiments, and tasks. NVIDIA Cosmos 3 is a frontier foundation model for physical AI that combines physical reasoning, world generation, and action generation within a single open model.