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 ...
As large language models (LLMs) continue to improve at coding, the benchmarks used to evaluate their performance are steadily becoming less useful. That's because though many LLMs have similar high ...
Google's TurboQuant reduces the KV cache of large language models to 3 bits. Accuracy is said to remain, speed to multiply.
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 ...
OpenAI on Monday released a large dataset for evaluating how well large language models answer questions related to health care. Experts lauded the open-source data and detailed evaluation rubrics, ...
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