Dominic de Grassi
Multimedia Designer, Full-Stack Web Developer, Marketing and Advertising Professional
- Role
- Generative Ai Associate at Innodata Inc.
- Location
- Reno, NV, US
- LinkedIn followers
- 500 followers
About Dominic de Grassi
Hi, my name is Dom De Grassi, and I am an \"all-in-one\" marketing and online media manager…
Experience
Generative Ai Associate
Aug 2025 — Present · FL, US
Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole. Classification: Assigning predefined categories or labels to items. Content Quality: Evaluating the perceived quality and/or appropriateness of content Content Understanding: Generating labels to advance understanding of a concept, trend etc. Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Identification Labeling: Labeling model outputs to identify if a piece of content is or isn\'t something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Preference Ranking: Ordering or ranking items based on a set of preferences or criteria. Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system. Response Generation: Generating responses to prompts or questions using a language model or other AI system. Response Rewrite: Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Response Summarization: Producing concise summaries of longer pieces of text or data. Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.
Education
University of California, Santa Barbara
Bachelor of Arts (BA)
2010 — 2016
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