Using LLMs for Training Data Preparation with Nihit Desai

This post was originally published on Software Engineer Daily

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 .

 

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