Systems | Development | Analytics | API | Testing

Testing generative AI systems and red teaming: An introductory guide

The topic of testing AI and ensuring its responsibility, safety, and security has never been more urgent. Controversy and incidents of AI misuse have increased 26-fold since 2021, highlighting growing concerns. As users quickly find out, AI tools are not infallible; they can make mistakes, display overconfidence, and lack critical questioning. The reality of the market is that AI is prone to error. This is exactly why testing AI is crucial. But how do we test AI?

Why RAG Has a Place in Your LLMOps

With the explosion of generative AI tools available for providing information, making recommendations, or creating images, LLMs have captured the public imagination. Although we cannot expect an LLM to have all the information we want, or sometimes even include inaccurate information, consumer enthusiasm for using generative AI tools continues to build.

7 Stages of New Product Development Process

Bringing your futuristic vision for a new product to life is one of the biggest hurdles for aspiring entrepreneurs. The new product development process may seem mysterious in the beginning, however, when cracked, this journey to a final product can easily become a straight line. The majority of customers shopping online regularly are usually clueless about the rigorous and time-consuming process that every product goes through before they enter the digital realm.

Have You Heard of Devin the AI Software Engineer??

Imagine a world where every piece of digital content can be verified and traced back to its source. Lindsay Walker, Product Lead at Starling Lab for Data Integrity, walks us through the emerging tools that could make this possible. While AI tools hold incredible potential for good, Lindsay also warns against threats and countermeasures needed to keep our virtual representations safe. She emphasizes the need to build provenance into tools, discusses blockchain use cases, and shares systems that implement hashes for security.

A Breakthrough AI-Powered SQL Assistant

Data is the lifeblood of modern businesses, but unlocking its true insights often requires complex SQL queries. These queries can be time-consuming to write and challenging to maintain. At Snowflake, we believe in making the power of data accessible to all. That’s why we prioritize simplicity, governance and quality in everything we build – including our AI-powered tools.

How to Maintain App Quality at Scale

In February 2024, approximately 89,000 mobile apps were released via the Apple App and Google Play stores—37,000 and 52,000, respectively. That’s about 3,100 mobile apps per day, and that’s not even counting the apps released via other platforms. App consumers know they have options, and if your app isn’t cutting it for them, they can simply delete it and find a better one—which means you can’t afford to scrimp on app quality assurance.