Prodigy tool and mold

Everyone knows data scientists should spend more time looking at their data. When good habits are hard to form, the trick is to remove the friction. Prodigy makes the right thing easy, encouraging you to spend more time understanding your problem and interpreting your results. Annotation is usually the part where projects stall. Instead of having an idea and trying it out, you start scheduling meetings, writing specifications and dealing with quality control.

With Prodigy, you can have an idea over breakfast and get your first results by lunch. Once the model is trained, you can export it as a versioned Python package, giving you a smooth path from prototype to production. Prodigy is fully scriptable, and slots neatly into the rest of your Python-based data science workflow. As the makers of spaCy, a popular library for Natural Language Processing, we understand how to make tools programmers love. The simple secret is this: programmers want to be able to program.

Good developer tools need to let you in, not lock you out. That's why Prodigy comes with a rich Python API, elegant command-line integration, and a super productive Jupyter extension. Using custom recipe scripts, you can adapt Prodigy to read and write data however you like, and plug in custom models using any of your favourite frameworks.

Open the app in your browser and start annotating! Train a new AI model in hours Prodigy is a scriptable annotation tool so efficient that data scientists can do the annotation themselves, enabling a new level of rapid iteration.

How it works. The missing piece in your data science workflow Prodigy brings together state-of-the-art insights from machine learning and user experience. Try the demo. Darrin Schmitt, President: Mission-critical molds are those that are dependent on their quality and accuracy to deliver consistent parts that people depend on to ensure their safety. It takes a real team effort to satisfy customers who expect perfection for these types of parts.

Explain the differences between gears and gear housings, especially in the way you approach building molds for them. Prodigy: They are quite different from each other in that gears and worms are more precise, with emphasis not only on consumer safety but comfort as well. They are used for many types of functions, including adjusting seats, steering mechanisms, throttle bodies, mirrors and doors in the automotive industry, as well as various actions needed in medical products, outdoor equipment and so on.

Our customers expect all critical-part geometry to be within 0. This means steel needs to be machined within 0. Because of the complex nature of this work, getting approval on a housing tool is generally at least a year-long process. Talk about metrology and quality at Prodigy.

What are your capabilities and how does it affect the way you build molds for gears and gear housings? Prodigy: Gearing is very demanding because of the need for consistent operation for safety and the need to operate very quietly.

Again, this is because when a part shrinks or warps, it may look like more like a football but it needs to be a basketball. To resolve this issue, we must reverse-engineer the geometry to compensate.