Systems | Development | Analytics | API | Testing

How #ChatGPT Acquires Its Knowledge? | Raju Kandaswamy | #SoftwareTesting #GenerativeAI

In this intriguing video, Raju Kandaswamy delves into the fascinating world of ChatGPT, unraveling the mechanisms behind how this powerful language model acquires its knowledge. Gain insights into the training process, the vast datasets involved, and the continuous learning loop that refines ChatGPT's language capabilities. Whether you're a curious user or a tech enthusiast, this session offers a behind-the-scenes look at the knowledge acquisition journey of ChatGPT, shedding light on the technology that powers its diverse and contextually rich responses.

Real-Time Example of APIs of a Leading Travel Company | Sidharth Shukla | #apitesting #api

Join Sidharth Shukla in this session as he provides a real-time exploration of APIs from a leading travel company. In this hands-on demonstration, Sidharth walks you through practical examples, showcasing the architecture, functionalities, and integration possibilities of APIs within the travel domain. Whether you're a developer, tester, or someone keen on understanding the intricacies of API usage in the travel industry, this video offers valuable insights and a firsthand look at the dynamics of APIs in a real-world scenario.

Ask Me Anything About Styling and White Labeling Yellowfin

Yellowfin makes it possible to combine action-based dashboards, automated data discovery, and data storytelling into a single, integrated, seamless platform — right in your user’s core workflow. Learn how to best to leverage these capabilities, starting with a walkthrough of the basics of white labeling Yellowfin along with some tips and tricks.

Tutorial. UI Testing with Selenide

In this tutorial video, Oleksii Driuk, Lead QA Engineer at ORIL, introduces you to Selenide, a dependable tool for UI testing. Selenide streamlines UI testing, making it accessible for experienced developers and those new to the field. By elevating software quality, it guarantees bug-free, high-performance applications. Incorporating it into your development process can notably diminish software errors, fostering improved user experiences and the creation of more dependable applications.

Automate Building ML Experiments with Databricks, AutoML, and Fivetran: Predicting Wine Quality

Learn how Fivetran’s automated data movement platform allows you to quickly set up a relational database connector to the Databricks Lakehouse to move a wine quality dataset over to the lakehouse and ensure that it’s ML-ready. Then you’ll see how to use Databricks and AutoML to run classification experiments on the dataset to generate models for wine quality predictions based on a variety of parameters, including citric acid, ph, residual sugar, and sulphates. An extra bonus is that you don’t have to be a data engineer, ML engineer, or a wine expert to deliver quick value with this tech stack and approach.

What's new in Cloudera DataFlow 2.7: Change Data Capture with NiFi & Productivity improvements

Learn how the latest Cloudera DataFlow release enables Change Data Capture use cases and improves developer productivity with new features like deployment configuration export, flow version tagging and new monitoring capabilities.

Benchmark Your Metrics in Databox!

🥁 BIG NEWS: Benchmarks now available in the Databox app! Curious about how your results measure up against companies like yours? Using Benchmarks, you will be able to compare your performance to similar companies, identifying where you are ahead and where you fall behind. Now you can benchmark any metric and empower your data-driven insight right in our Databox Analytics app.