IEEE

Leveraging Large Language Model for Automatic Patch Correctness Assessment

Abstract: Automated Program Repair (APR) techniques have shown more and more promising results in fixing real-world bugs. Despite the effectiveness, APR techniques still face an overfitting problem: a ...
Tech Xplore

Making LLMs faster and more efficient across multiple languages

Large language models (LLMs), which are the artificial intelligence (AI) systems behind modern chatbots, translation tools, ...
Mayo Clinic

Foundations of Large Language Models in Medical Research

Foundations of Large Language Models in Medical Research. The Foundations of Large Language Models in Medical Research course lays the foundation for understanding how generative ...

Large Language Models Are Destroying The Art Of Writing

When writing becomes too optimized through AI generation, the words lose the power behind the author’s struggle.
Opinion
The LancetOpinion

Co-intelligence: a proposal for human–artificial intelligence collaboration for large language models in medical research

The emergence of large language models (LLMs) offers transformative potential for medical research. Current approaches often focus on LLMs as a replacement for researchers or as a supporting tool. In ...

Vision-Language Models And Agentic AI Are Rewriting The Rules Of Video Analytics

The global AI video analytics market is on track to reach $17 billion by 2031, growing at over 22% annually. Behind the ...
MUO on MSN

Local LLM setup: how to use RAG and an embedding model to stop wasting context

Local LLMs degrade fast when context fills up. An embedding model and RAG pipeline fixes that — and runs entirely on your ...
martincid.com

An AI wrote a working zero-day exploit — Google caught it first

The exploit targeted two-factor authentication, the verification step that protects most accounts people care about — email, banking, cloud storage, work logins. The vulnerability, a semantic logic ...
TheServerSide

Model-view-controller design pattern tutorial

The controller handles incoming requests and puts any data the client needs into a component called a model. When the controller's work is done, the model is passed to a view component for rendering.
Microsoft

Detecting backdoored language models at scale

Today, we are releasing new research on detecting backdoors in open-weight language models. Our research highlights several key properties of language model backdoors, laying the groundwork for a ...
VentureBeat

MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot

Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...
InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...