GitHub

qjr87/llm-api-test

LLM API Test is a powerful, web-based tool designed to benchmark and compare the performance of various Large Language Model APIs. Whether you're evaluating different providers, optimizing your AI ...
CNX Software

Rockchip RK1820/RK1828 SO-DIMM and M.2 LLM/VLM AI accelerator modules, devkits, and benchmarks

Rockchip unveiled two RK182X LLM/VLM accelerators at its developer conference last July, namely the RK1820 with 2.5GB RAM for ...
IEEE

MORA-LLM: Enhancing Multi-Objective Optimization Recommendation Algorithm by Integrating Large Language Models

Abstract: Multi-objective evolutionary algorithms (MOEAs) have achieved notable success in recommendation systems (RSs) by meeting diverse user needs. However, existing MOEAs lack effective methods to ...
marktechpost

Google Introduces T5Gemma 2: Encoder Decoder Models with Multimodal Inputs via SigLIP and 128K Context

T5Gemma 2 follows the same adaptation idea introduced in T5Gemma, initialize an encoder-decoder model from a decoder-only checkpoint, then adapt with UL2. In the above figure the research team show ...
PC Gamer

Anthropic reveals that as few as '250 malicious documents' are all it takes to poison an LLM's training data, regardless of model size

Don't sleep on this study. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Add us as a preferred source on Google Claude-creator Anthropic has ...
IEEE

Knowledge Probing on Decoder-Only Models in Medical Domain

Language models (LLMs) have become an integral part of numerous applications in the biomedical domain, leveraging their ability to process and generate human-like text [1]. In this study, we focus on ...