The use of Large Language Models (LLMs) as automatic judges for code evaluation is becoming increasingly prevalent in academic environments. But their reliabili...
Real-world AI software engineering demands coding agents that can reason over massive repositories, maintain durable memory across and within long sessions, and...
LLM-agent based binary code analysis has demonstrated significant potential across a wide range of software security scenarios, including vulnerability detectio...
Large Language Models LLMs have revolutionized the way we interact with information, but they have a fundamental limitation: their knowledge is frozen at the ti...
The rising demand for collaborative machine learning and data analytics calls for secure and decentralized data sharing frameworks that balance privacy, trust, ...
This document reports the sequence of practices and methodologies implemented during the Big Data course. It details the workflow beginning with the processing ...
Almost a year after releasing Rerank 3.5, Cohere launched the latest version of its search model, now with a larger context window to help agents find the infor...
Presented by Oracle NetSuite When any company tells you it is their biggest product release in almost three decades, it’s worth listening. When the person sayin...
By stacking multiple active components based on new materials on the back end of a computer chip, this new approach reduces the amount of energy wasted during c...
Modern cloud platforms increasingly host large-scale deep learning (DL) workloads, demanding high-throughput, low-latency GPU scheduling. However, the growing h...
Efficiency in optimisation and search processes persists to be one of the challenges, which affects the performance and use of optimisation algorithms. Utilisin...
As the scale and complexity of AI infrastructure grows, data center operators need continuous visibility into factors including performance, temperature, and po...
