Hackaday8d
Examining The Vulnerability Of Large Language Models To Data-Poisoning
Large language models (LLMs) are wholly dependent on the quality of the input data with which these models are trained. While ...
snmjournals.org8d
Large Language Models and Large Multimodal Models in Medical Imaging: A Primer for Physicians
Large language models (LLMs) are poised to have a disruptive impact on health care. Numerous studies have demonstrated ...
Here's why 100TB+ SSDs will play a huge role in ultra large language models in the near future
with Product Quantization - that uses high-capacity SSDs to store vector data and indices. Kioxia claims AiSAQ significantly reduces DRAM usage compared to DiskANN, offering a more cost-effective and ...
Forbes29d
The Rise Of Large Database Models
Even as large language models have been making a splash with ChatGPT and its competitors, another ... [+] incoming AI wave has been quietly emerging: large database models. Even as large language ...
Qdrant launches hardware-independent, GPU-accelerated vector indexing capability
Qdrant, the developer of a high-performance open-source vector database, today introduced its graphics processing unit accelerated vector indexing capability that will make scaling up artificial ...
KIOXIA AiSAQ Technology Designed to Reduce DRAM Requirements in Generative AI Systems Released as Open Source Software
KIOXIA today announced the open source release of its new All-in-Storage ANNS with Product Quantization (AiSAQ) technology. A novel "approximate nearest neighbor" search (ANNS) algorithm optimized for ...