- Presentation by David Jayatillake, VP of AI at Cube: David discussed the critical role of the semantic layer in reducing AI hallucinations while working with data. He highlighted the emergence of Cube as a universal semantic layer that streamlines data integration, optimizes speed and cost efficiency, and fortifies centralized governance.
- Introduction to Cube's Cutting-Edge AI API: Cube's AI API leverages the semantic layer to augment data retrieval for AI models. Offered as a comprehensive service, it negates the need for users to build their retrieval-augmented data generation capabilities. This innovative approach simplifies writing a REST API query compared to traditional SQL queries, thus making it more user-friendly even for language models that generate API requests.
- Deployment and Applications of Cube Copilot: Cube Copilot, a tool designed to assist in writing Cube definitions, was introduced. It generates Cube code based on user interactions. David Jayatillake gave insights into Cube's vision to automate many tasks using AI, opening the gates to new artificial intelligence-empowered functionalities.
- Live Demo of AI API and Cube Copilot: David Jayatillake demonstrated the functionality of the AI API using Postman, where a simple JSON query can generate a Cube query and retrieve results. He further elucidated the application of the AI Assistant in Cube Cloud and Cube Copilot in Cube Cloud IDE. These tools flexibly support conversational experiences and use metadata to suggest semantic layer additions, manifesting unprecedented convenience and utility.
- Adaptation and Capabilities of OpenAI GPT 4.0 Model: OpenAI GPT 4.0 model underpins the AI model used in Cube. The model operates on a vector similarity approach regardless of word arrangement and terminology. The AI model enhances its performance in understanding and delivering desired outcomes by using metadata fed from meta endpoint, integrating other data like HubSpot, and providing quintessential examples of good query formation. The AI API's cost varies according to the user's plan.
In conclusion, the webinar highlighted the transformative role of Cube's AI tools in facilitating API request generation, writing Cube definitions, and conversing organically. By harnessing the power of semantics and AI, Cube aims to revolutionize data access and retrieval, while advancing the field of AI through innovative solutions like Cube Copilot and AI API.