Meta AI Releases CyberSecEval 3: A Large-Scale Evaluation Framework for LLM Security Used in Model Development
The cybersecurity risks, benefits, and capabilities of AI systems are critical to security and AI policy. As AI becomes increasingly…
Study: When allocating scarce resources with AI, randomization can improve fairness | MIT News
Companies are increasingly using machine learning models to allocate scarce resources or opportunities. For example, such models can help companies…
Roliga och bisarra AI-generated video clips
It is a fascination with AI that approaches reality and engaging video. There are video clips online about sections of…
Progressive learning framework to improve AI reasoning through weak-to-strong supervision
As large language models surpass human capabilities, accurate supervision becomes increasingly difficult. Weak-to-strong learning, which uses a weaker model to…
MIT researchers improve automated interpretability of AI models | MIT News
Artificial intelligence models are becoming increasingly widespread and integrated into industries as diverse as healthcare, finance, education, transportation, and entertainment.…
Event Study Design: A Beginner's Guide | by Arieda Muço | Jul 2024
What are they and what are they not?In this article, I attempt to clarify the use of essential tools in…
AWS AI Chips Deliver High Performance, Low Cost for Llama 3.1 Models on AWS
Today we are excited to announce AWS Trainium And AWS Inference Llama 3.1 model fine-tuning and inference support. The Llama…
AgentPoison: A Novel Red Teaming Approach and Backdoor Attack Targeting Generic and RAG-Based LLM Agents by Poisoning Their Long-Term Memory or RAG Knowledge Base
Recent advances in large language models (LLMs) have enabled LLM agents to be used in many domains, including safety-critical ones…
Large language models don't behave like people, even though you might expect them to | MIT News
One of the strengths of large language models (LLMs) is the diversity of tasks to which they can be applied.…
What is Causal Inference? A Beginner’s Guide to Causal Inference… | by Khin Yadanar Lin | Jul, 2024
A Beginner's Guide to Causal Inference Methods: Randomized Controlled Trials, Difference-in-Differences, Synthetic Control, and A/B Testing11 min read·23 hours agophoto…