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Audio
Image
TextThe majority of my LLM training was with Google on many projects, including adversarial probing, prompt and ideal response writing, model response ranking, audio to text, video to text, and image to text. I participated in Google small study projects, such as music generation ranking and mobile gaming image captioning. I excel at writing creative and varied prompts that challenge models in many categories. I adapt to new project guidelines and changes well.
Record audio from pregenerated prompts, adhering to tone requests and audio interferences, etc. The speech is then transcribed as it was spoken.
A pregenerated music prompt was provided with two audio responses. I was tasked with rating both responses based on audio quality, musicality, and preference.
This project had multiple sessions that I was a part of with Outlier/Scale. One version required sourcing an image online or creating one to submit with a written prompt asking the model to respond in text while attempting to achieve a specific goal (reasoning, spatial understanding, counting, summarization, etc.)
This project involved submitting a randomized YouTube clip with a challenging prompt based on the audio from the clip to achieve a text model response with a specific goal, such as reasoning, Q&A, summarization, and more.
This project involved submitting random videos from YouTube along with writing a challenging prompt requesting the model to achieve a goal, such as reasoning or summarizing the video content. Often, closed or open Q&A was requested in the prompt based on the video.
Bachelor of Science, Apparel & Textiles
Customer Service Associate
Embroidery Designer
