IEEE Spectrum on MSN
Why are large language models so terrible at video games?
AI models code simple games, but struggle to play them ...
Morning Overview on MSN
Google’s TurboQuant claims 6x lower memory use for large AI models
Google researchers have proposed TurboQuant, a method for compressing the key-value caches that large language models rely on ...
This study introduces MathEval, a comprehensive benchmarking framework designed to systematically evaluate the mathematical reasoning capabilities of large language models (LLMs). Addressing key ...
OpenAI Group PBC and Mistral AI SAS today introduced new artificial intelligence models optimized for cost-sensitive use ...
A new academic study challenges a core assumption in developing large language models (LLMs), warning that more pre-training data may not always lead to better models. Researchers from some of the ...
As large language models (LLMs) continue their rapid evolution and domination of the generative AI landscape, a quieter evolution is unfolding at the edge of two emerging domains: quantum computing ...
Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by ...
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