Today Snowflake is launching and open-sourcing with an Apache 2.0 license the Snowflake Arctic embed family of models. Based on the Massive Text Embedding Benchmark (MTEB) Retrieval Leaderboard, the largest Arctic embed model with only 334 million parameters is the only one to surpass average retrieval performance of 55.9, a feat only less practical to deploy models with over 1 billion parameters are able to achieve.

Organizations that monitor their LLMs will benefit from higher performing models at higher efficiency, while meeting ethical considerations like ensuring privacy and eliminating bias and toxicity. In this blog post, we bring the top LLM metrics we recommend measuring and when to use each one. In the end, we explain how to implement these metrics in your ML and gen AI pipelines.

When you think about improving your website, consider the impact user feedback can have. It comes directly from those who navigate and use your site. Let’s say visitors struggle to find information on your website. They may suggest adding a search function. Implementing their suggestion can dramatically enhance user experience. Such an update can make your site more navigable and efficient. It will allow users to find what they need quickly.

With data continuously growing in complexity and quantity, ensuring data security is more important than ever when choosing to buy a business intelligence (BI) solution. From data protection to data governance, having a BI platform that enables you to control, audit, encrypt and manage user access and usage of sensitive data is essential.

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.

In the pursuit of excellence, Quality Assurance (QA) has embarked on a profound journey of automation. Beginning with manual testing as its foundation, QA has progressed steadily through functional automation and smart automation, culminating in its embrace of Intelligent automation and Codeless automation. This evolution mirrors our transition from traditional waterfall models to agile methodologies.

How did the Kong Mesh team design and bring Kong Mesh into Kong Konnect? In this blog post, we’re going to dive into this question to understand what’s going on behind the scenes with Mesh Manager.

Exploring fraud detection with automated data integration in a cloud data warehouse: part two of two.

In a world where digital innovation propels us forward, the stakes for software development have never been higher. Quality and reliability are the twin pillars upon which the reputation and success of software are built. Yet, as the complexity of software systems escalates and development cycles accelerate, ensuring software quality through meticulous testing has become quite a challenge.

In March, Snowflake announced exciting releases, including advances in AI and ML with new features in Snowflake Cortex, new governance and privacy features in Snowflake Horizon, and broader developer support with the Snowflake CLI. Read on to learn more about everything we announced last month.