Reindustrializing Defense Through AI-Powered Production Editor’s Note: This is a joint blog post written by Palantir and L3Harris about our partnership to reindustrialize America’s defense industrial base. Introduction The challenge facing America’s defense industrial base is not just about speed — it’s about rebuilding the foundation that makes speed possible. Our nation’s ability to rapidly reindustrialize and …
Picture this: Your enterprise has just deployed its first generative AI application. The initial results are promising, but as you plan to scale across departments, critical questions emerge. How will you enforce consistent security, prevent model bias, and maintain control as AI applications multiply? It turns out you’re not alone. A McKinsey survey spanning 750+ …
Read more “Governance by design: The essential guide for successful AI scaling”
Zencoder, the Silicon Valley startup that builds AI-powered coding agents, released a free desktop application on Monday that it says will fundamentally change how software engineers interact with artificial intelligence — moving the industry beyond the freewheeling era of “vibe coding” toward a more disciplined, verifiable approach to AI-assisted development. The product, called Zenflow, introduces …
We took a hair-raising trip around a track in the final four-door GT version of Jaguar’s polarizing relaunch concept car. Is just might be good enough to end the British brand’s abysmal run of luck.
Zoom Video Communications, the company best known for keeping remote workers connected during the pandemic, announced last week that it had achieved the highest score ever recorded on one of artificial intelligence’s most demanding tests — a claim that sent ripples of surprise, skepticism, and genuine curiosity through the technology industry. The San Jose-based company …
Read more “Zoom says it aced AI’s hardest exam. Critics say it copied off its neighbors.”
As OpenAI scrambles to improve ChatGPT, it’s ditching a feature in its free tier that contributed to last summer’s user revolt.
Today’s artificial intelligence models can’t even tie their own shoes.
From daily weather measurements or traffic sensor readings to stock prices, time series data are present nearly everywhere.
Building newly trained machine learning models that work is a relatively straightforward endeavor, thanks to mature frameworks and accessible computing power.
This article is divided into four parts; they are: • How Logits Become Probabilities • Temperature • Top- k Sampling • Top- p Sampling When you ask an LLM a question, it outputs a vector of logits.