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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 large language models like ChatGPT first became widely available, a lot of us developers felt like we’d been handed a new superpower. We could use LLMs to help us develop new coding projects, build websites, and much more – just using a few prompts. LLMs were like a tireless,…
Artificial Intelligence
PLAID is a multimodal generative model that simultaneously generates protein 1D sequence and 3D structure,…
Drawing from over a decade of experience in digital marketing, where I’ve helped countless businesses…
Chapter 1 My name is Danny Marsh, and I’m here to tell you the most…
The power grid had been failing for three days straight, but tonight felt different. It…