The current popular method for test-time scaling in LLMs is to train the model through reinforcement learning to generate longer responses with chain-of-thought (CoT) traces. This approach is used in ...
A recent study has unveiled a novel strategy to boost the efficiency of solar photovoltaic (PV) systems in agriculture, ...
NSO to use GST data for more accurate GDP estimates in new series, improving private consumption measurement and reducing GDP ...
Divya Tyagi, a Penn State engineering student, has cracked a 100-year-old wind energy equation, refining Glauert’s classical ...
Tagging to Prime Minister Narendra Modi, Reddy lauded, "Under the visionary leadership of Hon'ble PM Narendra Modi, India is ...
"A Proud Moment for India! Crossing the monumental milestone of 1 Billion tonnes of coal production is a remarkable ...
India crossed a record milestone of 1 billion tonnes of coal production in the current fiscal, a landmark, which Prime ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile ...
Tom's Hardware on MSN1d
Chinese scientists create 'breakthrough' solid-state DUV laser light source for chipmaking toolsThe Chinese Academy of Sciences has developed a light source that produces 193-nm DUV light, but it is years away from ...
As large language models (LLMs) gain prominence as state-of-the-art evaluators, prompt-based evaluation methods like GEMBA-MQM have emerged as powerful tools for assessing translation quality.
Chinese tech giant Baidu Inc (NASDAQ:BIDU)'s stock rose over 8% after the company announced the launch of two advanced AI models: native multimodal model ERNIE 4.5 and reasoning model ERNIE X1.
They also show that models learned from nonsynonymous mutations and from out-of-frame sequences are different, prompting new questions about germinal center function. Strengths of the study include an ...
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