AMD has announced ' Instella-Math,' a language model trained exclusively on AMD GPUs. It has 3 billion parameters and is specialized for inference and mathematical problem solving. Instella-Math was ...

Abstract: Complex machine learning (ML) inference algorithms like recurrent neural networks (RNNs) use standard functions from math libraries like exponentiation, sigmoid, tanh, and reciprocal of ...

A number of chip companies — importantly Intel and IBM, but also the Arm collective and AMD — have come out recently with new CPU designs that feature native Artificial Intelligence (AI) and its ...

Complex machine learning (ML) inference algorithms like recurrent neural networks (RNNs) use standard functions from math libraries like exponentiation, sigmoid, tanh, and reciprocal of square root.

The number of AI inference chip startups in the world is gross – literally gross, as in a dozen dozens. But there is only one ...

├── README.md ├── benchmarks │ ├── AIME.jsonl │ ├── MATH100.jsonl │ └── OmniMATH100-rule.jsonl ├── evaluation │ ├── eval-Qwen2.5_Math │ │ ├── get_results.py │ │ ├── grader.py │ │ ├── math_utils.py │ │ ...

LG CNS, in collaboration with artificial intelligence (AI) startup Cohere, has developed an inference-optimized large language model (LLM) boasting over 111 billion parameters. The new LLM model comes ...