Technical Details and Advantages The core of this patent lies in utilizing ML models (such as multiple submodules including random forest models) to predict and generate quantization parameters (QP).

The general definition of quantization states that it is the process of mapping continuous infinite values to a smaller set of discrete finite values. In this blog, we will talk about quantization in ...

The Tencent Hunyuan team presented a compelling research achievement at the 2025 ICML conference, revealing the profound ...

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced Better Binary Quantization (BBQ) in Elasticsearch. BBQ is a new quantization approach developed from insights ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In today’s fast-paced digital landscape, businesses relying on AI face ...

The Llama 3.1 70Bmodel, with its staggering 70 billion parameters, represents a significant milestone in the advancement of AI model performance. This model’s sophisticated capabilities and potential ...

Things are moving at lightning speed in AI Land. On Friday, a software developer named Georgi Gerganov created a tool called "llama.cpp" that can run Meta's new GPT-3-class AI large language model, ...