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 ...
Artificial intelligence has traditionally advanced through automatic accuracy tests in tasks meant to approximate human knowledge. Carefully crafted benchmark tests such as The General Language ...
What if the tools we trust to measure progress are actually holding us back? In the rapidly evolving world of large language models (LLMs), AI benchmarks and leaderboards have become the gold standard ...
Google's TurboQuant reduces the KV cache of large language models to 3 bits. Accuracy is said to remain, speed to multiply.
Every AI model release inevitably includes charts touting how it outperformed its competitors in this benchmark test or that evaluation matrix. However, these benchmarks often test for general ...
LMArena, a popular benchmark for large language models, has been accused of giving preferential treatment to AIs made by big tech firms, potentially enabling them to game their results. When you ...
OpenAI Group PBC and Mistral AI SAS today introduced new artificial intelligence models optimized for cost-sensitive use ...
Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by ...
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