Engineering Insights

AI Speech Recognition in Unity

Optimizing query planning in Vitess: a step-by-step approach

Introduction In this blog post, we will discuss an example of a change to the Vitess query planner and how it enhances the optimization process. The new model focuses on making every step in the optimization pipeline a runnable plan. This approach offers several benefits, including simpler understanding and reasoning, ease of testing, and the ability to use arbitrary expressions in ordering, grouping, and aggregations. Vitess distributed query planner VTGate is the proxy component of Vitess. It

OpenAI Cybersecurity Grant Program

Our goal is to facilitate the development of AI-powered cybersecurity capabilities for defenders through grants and other support.

Announcing the Open Source AI Game Jam 🎮

Pulling back the curtain: the new database overview page

Have you ever wondered what's actually under the hood of a PlanetScale database? Starting today, you no longer have to wonder! We just released a huge update to your database overview page in the PlanetScale dashboard. The power of PlanetScale Our goal at PlanetScale has always been to provide the most powerful, yet easy-to-use database that "just works." We've packed a ton of power under the hood, and with this newest release, we're pulling back the curtain to make it clear exactly what you're

Improving mathematical reasoning with process supervision

We've trained a model to achieve a new state-of-the-art in mathematical problem solving by rewarding each correct step of reasoning (“process supervision”) instead of simply rewarding the correct final answer (“outcome supervision”). In addition to boosting performance relative to outcome supervision, process supervision also has an important alignment benefit: it directly trains the model to produce a chain-of-thought that is endorsed by humans.

Introducing the Hugging Face LLM Inference Container for Amazon SageMaker

Introducing BERTopic Integration with the Hugging Face Hub