LLMs; factuality and evaluation of text and voice chatbots
Data labelling tasks performed in text and audio responses; evaluating multiple dimensions.
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I am a scientist and engineer with a strong foundation in Biology, Agronomy, and Biotechnology. Currently, I am designing a small urban farm to promote sustainable food production, a hobby/worklife project that has honed my business skills. My current interest and growing work experience in AI, particularly in large language models (LLMs) and their training, complements my background in scientific writing, where I manage extensive references and very diverse information. This prepares me well for fact-checking, creativity, and prompt engineering projects. I am adept at following guidelines and protocols, skills that are crucial in both scientific and AI research. Recently, my work has led me to delve deeper into LLM training and the exploration of the "black box" nature of complex neural models. I view Artificial Intelligence and LLMs as a cutting-edge scientific frontier with immense potential for global innovation and application.
Data labelling tasks performed in text and audio responses; evaluating multiple dimensions.
Generation of complex texts, Reinforced Learning from Human Feedback (RHLF) using chatbots and correcting/rating other employees tasks. Following different guidelines depending on the project and specific tasks.
Masters Degree in Biotechnology, Science
Bachelor's in Agricultural Engineering, Engineering
Researcher (master's degree)
Agricultural Engineer