New MAP framework enhances parameter-efficient fine-tuning by decoupling direction and magnitude
Researchers unveil the MAP framework, a novel method that boosts Artificial Intelligence fine-tuning efficiency by separating directional and magnitude updates in model parameters.
CUDA Toolkit: features, tutorials and developer resources
The NVIDIA CUDA Toolkit provides a GPU development environment and tools for building, optimizing, and deploying GPU-accelerated applications. CUDA Toolkit 13.0 adds new programming-model and toolchain enhancements and explicit support for the NVIDIA Blackwell architecture.
Zero-shot Foundation Models Face Limitations in Single-cell Biology
Microsoft researchers reveal that zero-shot foundation models underperform traditional methods in single-cell biology, prompting calls for more rigorous Artificial Intelligence evaluation.
DeepSeek-V3 Paper Reveals Hardware-Aware Strategies for Efficient Large Language Model Training
DeepSeek-V3’s new technical paper details how hardware-aware co-design enables large language model training at lower costs, tackling scaling and memory challenges in Artificial Intelligence.
Qwen 1M Integration Example with vLLM
Demonstrating how to use the Qwen/Qwen2.5-7B-Instruct-1M model in the vLLM framework for efficient long-context inference in Artificial Intelligence applications.
The Generative AI Model Map: Understanding Explicit and Implicit Density Models
Discover how generative models underpin modern Artificial Intelligence, from explicit density models to GANs and score-based approaches.
AMD EPYC Venice Leak Reveals 2 nm Zen 6 Processors with Up to 256 Cores and 1 TB Cache
Leaked details of AMD´s next-gen EPYC Venice processors promise up to 256 cores, 6 TB RAM per socket, and 1 TB of L3 cache, targeting demanding data-center and Artificial Intelligence workloads.
NEO Semiconductor Reveals Breakthrough 1T1C and 3T0C 3D X-DRAM Technology
NEO Semiconductor announces a new 3D X-DRAM cell promising a tenfold density increase and transformative power efficiency for advanced data and Artificial Intelligence workloads.
XConn Technologies to showcase end-to-end PCIe Gen 6 at FMS25
XConn Technologies will present a live demonstration of PCIe Gen 6.2 and CXL 3.1 solutions, targeting high-performance computing and Artificial Intelligence, at the FMS25 event.
What is LLM seeding: guide to enhancing your artificial intelligence content strategy
LLM seeding is the process of getting your content into the datasets and retrieval sources that large language models rely on. This guide explains where Artificial Intelligence models pull data and practical public relations tactics to increase brand visibility in Artificial Intelligence search responses.