How We Are Testing Our Agents in Dev
Testing that your AI agent is performing as expected is not easy. Here are a few strategies we learned the hard way. The post How We Are Testing Our Agents in Dev appeared first on Towards Data Science.
Testing that your AI agent is performing as expected is not easy. Here are a few strategies we learned the hard way. The post How We Are Testing Our Agents in Dev appeared first on Towards Data Science.
Author(s): Sayan Chowdhury Originally published on Towards AI. Understanding the OG Perceptron Neural networks look complex from the outside, but at their core they are built from one simple unit. This unit is called the perceptron. The OG 😀The article explains the perceptron, the simplest form of a neural network, which serves as a tiny decision maker by taking a set of inputs to decide between two outcomes. It discusses how perceptrons inspired modern deep learning systems, focusing […]
Scientists everywhere can now access Evo 2, a powerful new foundation model that understands the genetic code for all domains of life. Unveiled today as the largest publicly available AI model for genomic data, it was built on the NVIDIA DGX Cloud platform in a collaboration led by nonprofit biomedical research organization Arc Institute and Stanford University. Evo 2 is available to global developers on the NVIDIA BioNeMo platform, including as an NVIDIA NIM microservice for easy, secure […]
Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger models are not always better. The team demonstrates that, in certain climate scenarios, much simpler, physics-based models can generate more accurate predictions than state-of-the-art deep-learning models. Their analysis also reveals that a benchmarking technique commonly used to evaluate machine-learning techniques for climate predictions can be distorted by natural variations in […]
Check out this comprehensive guide to building production-ready features that actually work.
Nano Banana Pro, or Gemini 3 Pro Image, is our most advanced image generation and editing model.
Isolation Forest may look technical, but its idea is simple: isolate points using random splits. If a point is isolated quickly, it is an anomaly; if it takes many splits, it is normal. Using the tiny dataset 1, 2, 3, 9, we can see the logic clearly. We build several random trees, measure how many splits each point needs, average the depths, and convert them into anomaly scores. Short depths become scores close to 1, long depths close […]
At this point, Google and OpenAI are battling it out neck to neck in terms of AI models. Earlier today, we reported that Google is finalizing an affordable image generation model that offers somewhat similar image quality as the Nano Banana Pro model. Here, the image generation model in question is the Nano Banana 2 Flash, and it will reportedly be powered by Gemini 3 Flash. OpenAI is reportedly testing a new AI image model Now, OpenAI appears […]
As sports fans throughout the country gear up for rivalries and the playoffs this holiday season, Cato Institute senior fellow in technology policy Jennifer Huddleston’s new blog, titled What Sports Can Teach Us About Competition Policy, compares competition in sports to competition in the technology market: lead , “Competition doesn’t only exist on the field. It also exists in the market. So why then do we seem not to greet technology disruptors’ success with the same sense of pride and […]
Selling “The Big Lies” helps Hollywood to keep alive the fantasy that the Left is the victim rather than the perpetrator of injustice.