tts_mos
This project was based on the transcription and recording of audio tracks.
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I am an AI Data trainer with extensive hands-on experience in generative AI evaluation, my expertise covers: math and Physics evaluations, ranking of model responses and RLHF, creation and evaluation of multi-turn prompts, multimodal tasks (image categorization and prompt creation for visual datasets), audio recording and recognition. I work fluently in both Italian and English, ensuring native-level linguistic accuracy and cultural nuance for Italian localization. I am accustomed to strict quality guidelines and high-precision workflows.
This project was based on the transcription and recording of audio tracks.
This project consisted of a multi-turn conversation of at least four turns using the premium versions of ChatGPT and Gemini, evaluating the responses of the two models and deciding which was the best one.
The aim of the project was to write a prompt comprising a mathematical problem and a response to the prompt. The model's response then had to be evaluated against the user's written response, ensuring that the user's response was better.
The aim of the project was to write a prompt that includes a mathematical problem, write the answer and evaluate the responses of the LLMs. If necessary, correct and improve the best answer.
The aim of the project was to choose an image belonging to the requested category, write a prompt that could only be answered using the image and evaluate the responses.
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