This video demonstrates how to use an open source pre-trained instruction-following LLM (Large Language Model) to build a ChatBot-like web application. The responses of the LLM are enhanced by giving it context from an internal knowledge base. This context is retrieved by using an open source Vector Database to do semantic search.

Is your team having the best-possible impact on your company? Are you making the most of your resources? In this clip, Elizabeth Stone of Netflix discusses how prioritization and visibility into larger company goals help improve ROI.

Innovative companies require a culture of experimentation and learning. In this clip, Elizabeth Stone of Netflix explains how the company’s longstanding commitment to disruptive innovation allows her team to balance data insights with a “big bet” mindset, leading to significant wins for members and employees alike.

💻 Get a server: 📄 Documentation on Fundamentals: ✨ Follow us and star us!

In this episode of “Powered by Snowflake,” host Daniel Myers talks with Martin Fiser, Head of Professional Services at Keboola, about how Keboola’s data platform allows companies to rapidly speed up their work with data by eliminating the need to integrate discrete tools to build a data platform. Instead, Keboola provides a unified platform that allows data teams to begin building data products and initiate new use cases immediately with a single mouse click. Most importantly, the platform can be accessed as a service and used on a pay-as-you-go basis.

In this first video, we introduce our overall approach, discuss what makes it unique, and describe our end-to-end capabilities and benefits that drive deeper and more meaningful insight, make that insight more accessible to all decision-makers, and speed up the time-to-value through automation. Unlike other solutions, Qlik offers fully integrated AI and ML built into our platform as foundational services, not a “bolt-on” or one-size-fits-all approach. We deliver a complete set of augmented capabilities, where we can “cross-pollenate” by leveraging ML-driven capabilities in Qlik Sense and Qlik Sense analytics in AutoML.