The Arkanix infostealer combines LLM-assisted development with a malware-as-a-service model, using dual language implementations to maximize reach and establish persistence.
By way of definition, AWS Strands is a model-driven framework (i.e. one that uses high-level designs to automatically generate code, which is often used for streamlining complex software development ...
The Manila Times on MSN
Techies use AI solutions for health, social services
YOUNG innovators utilized the power of artificial intelligence to drive positive change in health and social services at ...
A bad actor used AI tools to compromise more than 600 FortiGate appliances around the world in five weeks, Amazon says, the latest example of how hackers are increasing are using the technology to ...
Speechify's Voice AI Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI SIMBA 3.0 represents a major step forward in production voice AI. It is built voice-first for ...
But he might just as easily be describing the quiet conviction — held now by a growing number of founders, developers and technologists — that the Mac has become the most relevant, most usable, and ...
4don MSN
Prof.ai to Founder.ai
When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.
With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...
Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...
Exposed endpoints quietly expand attack surfaces across LLM infrastructure. Learn why endpoint privilege management is important to AI security.
If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...
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