Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...
Morning Overview on MSN
Ancient DNA study shatters everything we knew about Europe’s history
A wave of ancient DNA studies published in Nature has forced a sharp revision of how scientists understand the peopling of Europe, replacing old narratives of stable, isolated populations with ...
Morning Overview on MSN
Missing geomagnetic flips suggest Earth’s past is dangerously incomplete
A team led by Japan’s National Institute of Polar Research has identified four time windows in the last 160 million years where Earth’s record of magnetic pole reversals appears to be missing entries.
Background As the threat of child malnutrition increases, the focus remains mostly on short-term consequences. Long-term ...
As highlighted by Towards Packaging research, the global pharmaceutical glass packaging market, valued at USD 5.32 billion in ...
For the Republican officials and operatives who have been turned into outcasts as they balk at President Trump and his MAGA ...
Theresa S Betancourt and colleagues argue that implementation and systems strengthening are urgently needed to integrate mental health and psychosocial support interventions across health, education, ...
Ero Copper Corp. (TSX: ERO, NYSE: ERO) ("Ero" or the “Company”) is pleased to announce results of the Preliminary Economic ...
With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
MW grid-connected campus with 3,000 MW battery concept and 1 GW bridge-to-grid strategy positioned in North Texas ...
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