Category: Engineering

The generative AI revolution is transforming the way that teams work, and Databricks Assistant leverages the best of these advancements. It allows you to query data through a conversational interface, making you more productive inside your Databricks Workspace. The Assistant is powered by DatabricksIQ, the Data Intelligence Engine for Databricks, helping to ensure your data […]

We recently made significant improvements to the underlying algorithms supporting AI-generated comments in Unity Catalog and we’re excited to share our results.  Through DatabricksIQ, the Data Intelligence Engine for Databricks, AI-generated comments are already generating the vast majority of new documentation for customers’ Unity Catalog tables, and recent enhancements help to make this wildly popular […]

Grab has an in-house Risk Management platform called GrabDefence which relies on ingesting large amounts of data gathered from upstream services to power our heuristic risk rules and data science models in real time. Fig 1. GrabDefence aggregates data from different upstream services As Grab’s business grows, so does the amount of data. It becomes imperative […]

We are excited to partner with Meta to release the latest state-of-the-art large language model, Meta Llama 3, on Databricks. With Llama 3 on Databricks, enterprises of all sizes can deploy this new model via a fully managed API. Meta Llama 3 sets a new standard for open language models, providing both the community and […]

The next generation of Databricks SQL (DBSQL) dashboards, also known as Lakeview Dashboards, is now generally available on AWS and Azure. This new dashboarding experience is optimized for ease of use, scalable and secure distribution, governance, and performance. “Lakeview dashboards have been critical to the latest product suite our team brought to market. We used […]

We released Ray support public preview last year and since then, hundreds of Databricks customers have been using it for variety of use cases such as multi-model hierarchical forecasting, LLM finetuning, and Reinforcement learning. Today, we are excited to announce the general availability of Ray support on Databricks. Ray is now included as part of […]

Introduction In this blog post we dive into inference with DBRX, the open state-of-the-art large language model (LLM) created by Databricks (see Introducing DBRX). We discuss how DBRX was designed from the ground up for both efficient inference and advanced model quality, we summarize how we achieved cutting-edge performance on our platform, and end with […]

As eBay continues to find ways to bring our huge selection of items to our customers, we’re creating features to both inspire and help shoppers find the items they love. This is why we are so excited about ‘shop the look’, our latest generative AI-powered enhancement.  Shop the look is an immersive carousel of looks, […]

Introduction This article introduces the GrabX Decision Engine, an internal open-source package that offers a comprehensive framework for designing and analysing experiments conducted on online experiment platforms. The package encompasses a wide range of functionalities, including a pre-experiment advisor, a post-experiment analysis toolbox, and other advanced tools. In this article, we explore the motivation behind […]

Introduction Iris (/ˈaɪrɪs/), a name inspired by the Olympian mythological figure who personified the rainbow and served as the messenger of the gods, is a comprehensive observability platform for Extract, Transform, Load (ETL) jobs. Just as the mythological Iris connected the gods to humanity, our Iris platform bridges the gap between raw data and meaningful insights, […]