With Gartner estimating that over 90% of newly created business software applications will contain ML models or services by 2027, it is evident that the open source ML revolution is well underway. By adopting the right MLOps processes and leveraging the lessons learned from the DevOps revolution, organizations can navigate the open source and proprietary …
In the realm of AI collaboration, Hugging Face reigns supreme. But could it be the target of model-based attacks? Recent JFrog findings suggest a concerning possibility, prompting a closer look at the platform’s security and signaling a new era of caution in AI research. The discussion on AI Machine Language (ML) models security is still …
Artificial Intelligence tools such as Bard, ChatGPT, and Bing Chat are the current big names in the Large Language Model (LLM) category which is on the rise. LLMs are trained on vast data sets to be able to communicate by using everyday human language as a chat prompt. Given the flexibility and potential of LLMs, …
Today, we’re excited to announce a new integration with Amazon SageMaker! SageMaker helps companies build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows. By leveraging JFrog Artifactory and Amazon SageMaker together, ML models can be delivered alongside all other software development components in a modern …
Every year, JFrog brings the DevOps community and some of the world’s leading corporations together for the annual swampUP conference, aimed at providing real solutions to developers and development teams in practical ways to prepare us all for what’s coming next. Since the inception of swampUP – and truthfully since the creation of Artifactory – …
Our community has always had a “next.” There was the dawn of the computer age, when “next” meant that processing didn’t take up an entire room. There was the “next” of personal computing. Next came laptops, the internet, microservices, cloud-native, cybersecurity, automation and more. The thing that is next is always right around the corner …
