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.

With the ever-increasing pressure to release faster and better due to the growing user expectations about quality, reliability, and zero tolerance for defects, effective test management in the development of applications has never been so critical. Xray is a Jira-native application designed to streamline test management processes within your project management tool.

Beginning a career in web design is like setting out on an unforgettable voyage. Your creativity combined with computer knowledge can result in stunning online creations as you use Chrome extensions to your advantage. Like any journey worth undertaking, web designing requires specific tools for success in order for students to thrive while staying entertained throughout.

From the end user’s perspective, the microapps and microservices often seem to provide the same functionality. However, development teams need to think about microapps vs. microservices when building products. Before you commit time to microapps or microservices architecture, take some time to consider how these options will affect user experience (UX), user interface (UI), and security of your websites, web apps, and mobile apps.

Many organizations are turning to SharePoint to store their files and share documents. Allowing your systems to access these files might seem like a challenge at first, but with the help of the Microsoft Graph API, you can quickly download the file to start processing on your back-end. Download the example solution to get started. Use the created functions in your solution to simplify Microsoft Graph integration.

Marketers everywhere are anxious about what fortune the cookieless future holds — but I think we should embrace what will be a refreshing change.

We all love the ease and affordability of SaaS (Software-as-a-Service) tools. We expect our SaaS apps to be available whenever we need them, building our business processes around this assumption. At WSO2, we are grateful that many organizations trust our SaaS solutions, and we continually work to ensure this trust is well-founded. It’s worth taking a moment to understand the impact when those mission-critical apps go offline. Just one minute of downtime can cost businesses thousands of dollars.

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.

Support for model fine-tuning in BigQuery takes input text (the prompt) and the expected output, and teaches the model to mimic the behavior.