Exploring the evolution of building foundation models and the potential future landscape where specialized companies control their creation and updates, while others utilize them for custom solutions. The chapter also introduces Hacker One's AI Red teaming service for stress-testing AI models in businesses.
Machine learning models learn patterns and relationships from data to make predictions or decisions. The quality of the data influences how well these models can represent and generalize from the data.
Nihit Desai is the Co-founder and CTO at Refuel.ai. The company is using LLMs for tasks such as data labeling, cleaning, and enrichment. He joins the show to talk about the platform, and how to manage data in the current AI era.
Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer .
The post Using LLMs for Training Data Preparation with Nihit Desai appeared first on Software Engineering Daily.