Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in which the probabilities of tokens occurring in a specific order is ...

Google (GOOGL) just gave Wall Street a reason to rethink the biggest AI trade available. Alphabet’s Google Research said earlier in March that it had developed a new family of compression algorithms, ...

Google’s TurboQuant cuts KV cache memory, but Morgan Stanley says cheaper AI inference will boost demand for DRAM/storage.

Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 paper, TurboQuant is an advanced compression algorithm that’s going viral over ...

When attempting to quantize Qwen3-Next-80B-A3B-Instruct using the HF PTQ example with INT4 AWQ quantization, the calibration process appears to complete successfully ...

NVIDIA introduces NVFP4 KV cache, optimizing inference by reducing memory footprint and compute cost, enhancing performance on Blackwell GPUs with minimal accuracy loss. In a significant development ...

The Yandex Research team, together with researchers from the Massachusetts Institute of Technology (MIT), the Austrian Institute of Science and Technology (ISTA) and the King Abdullah University of ...

There is a chance we can all get on the same page as to what really is going on in a process’s dynamic response. There is a lot of confusion that can be resolved if we have a fundamental understanding ...

Mathematical reasoning stands at the backbone of artificial intelligence and is highly important in arithmetic, geometric, and competition-level problems. Recently, LLMs have emerged as very useful ...