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Vincent Pericard

Vincent Pericard

AI Model Evaluation and LLM Prompt Specialist

United Kingdom flagLondon, United Kingdom
$20.00/hrEntry LevelOther

Key Skills

Software

Other

Top Subject Matter

Sport
Accounting & Finance
Business/Entrepreneurship

Top Data Types

DocumentDocument
TextText

Top Task Types

Prompt Response Writing SFT
Question Answering
Text Generation
Text Summarization

Freelancer Overview

As a dedicated and detail-oriented professional, I have recently engaged in AI model evaluation and data labeling, focusing on enhancing the performance of cutting-edge generative AI systems. My work involves rigorously assessing AI-generated content, identifying potential issues like hallucinations, and ensuring the outputs meet high standards of truthfulness and coherence. I apply a strong understanding of instruction following, factual accuracy, and writing quality to improve the models’ responses across various tasks. Through this work, I have gained experience in evaluating AI performance metrics, adhering to complex task specifications, and providing comprehensive feedback for model refinement. I am committed to advancing the field of AI by contributing to projects that require a deep understanding of AI behaviour and a meticulous approach to data quality

Entry LevelFrenchEnglishItalian

Labeling Experience

AI Model Evaluation and Data Labeling for Large Language Models (LLMs)

OtherTextPrompt Response Writing SFT
Engaged in detailed evaluation and refinement of Generative AI models by assessing and rating AI-generated responses. The tasks involved meticulously following specific guidelines to ensure the accuracy and relevance of AI outputs in an enterprise context. This included identifying and correcting issues such as "hallucinations" (inaccurate information generated by AI) and evaluating the alignment of responses with given prompts. Worked on multiple dimensions of response quality, including truthfulness, instruction following, verbosity, and formatting. Contributed to the overall improvement of AI systems used by enterprise clients by providing thorough and consistent feedback on AI performance.

Engaged in detailed evaluation and refinement of Generative AI models by assessing and rating AI-generated responses. The tasks involved meticulously following specific guidelines to ensure the accuracy and relevance of AI outputs in an enterprise context. This included identifying and correcting issues such as "hallucinations" (inaccurate information generated by AI) and evaluating the alignment of responses with given prompts. Worked on multiple dimensions of response quality, including truthfulness, instruction following, verbosity, and formatting. Contributed to the overall improvement of AI systems used by enterprise clients by providing thorough and consistent feedback on AI performance.

2024

Education

U

University Of Portsmouth

Masters , Accounting and Finance

Masters
2017 - 2018

Work History

U

UK Deaf Sport

Non-Executive Director (Finance & Governance Lead)

London
2022 - Present
A

Ably

Sr Enterprise Customer Success Manager

London
2022 - 2023