Search
News & Updates
Training Diffusion Models with Reinforcement Learning We deployed 100 reinforcement learning (RL)-controlled cars into rush-hour highway traffic to smooth congestion and reduce fuel consumption for everyone. Our goal is to tackle “stop-and-go” waves, those frustrating slowdowns and speedups that usually have no clear cause but lead to congestion and significant…
Recent advances in Large Language Models (LLMs) enable exciting LLM-integrated applications. However, as LLMs have improved, so have the attacks against them. Prompt injection attack is listed as the #1 threat by OWASP to LLM-integrated applications, where an LLM input contains a trusted prompt (instruction) and an untrusted data. The…
In order to produce effective targeted therapies for cancer, scientists need to isolate the genetic and phenotypic characteristics of cancer cells, both within and across different tumors, because those differences impact how tumors respond to treatment. Part of this work requires a deep understanding of the RNA or protein molecules…
When we began studying jailbreak evaluations, we found a fascinating paper claiming that you could jailbreak frontier LLMs simply by translating forbidden prompts into obscure languages. Excited by this result, we attempted to reproduce it and found something unexpected.
Artificial Intelligence
PLAID is a multimodal generative model that simultaneously generates protein 1D sequence and 3D structure,…
Chapter 1: Terror Awaits My eyes snapped open to the familiar sight of my Mumbai…
One of the shared, fundamental goals of most chemistry researchers is the need to predict…
City life is often described as “fast-paced.” A new study suggests that’s more true that…