Angeline Yasodhara
About Angeline Yasodhara
Angeline Yasodhara Machine Learning Scientist
Angeline Yasodhara holds the title of Machine Learning Scientist. Her expertise lies in artificial intelligence and generative AI technologies. She is actively involved in discussions and explorations of the new world of Generative AI, bringing deep insights into the nuances and technical complexities of this rapidly evolving field.
Angeline Yasodhara Georgian Impact Podcast
Angeline Yasodhara participates in the Georgian Impact Podcast, where she delves into current topics surrounding generative AI. Through this platform, she shares her knowledge on various aspects of AI, providing listeners with valuable information about both the opportunities and challenges in the field.
Differences Between Closed and Open-Source Large Language Models
Angeline Yasodhara discusses the critical differences between closed and open-source large language models (LLMs). She explains how these differences impact the development, accessibility, and application of LLMs. Her discussions aim to educate on the variations in control, security, and potential biases that each type of model presents.
Limitations and Biases in Large Language Models
Angeline Yasodhara addresses the inherent limitations and biases present in large language models (LLMs) due to their training on extensive Internet data. She highlights how these limitations can affect the performance and reliability of LLMs, emphasizing the importance of recognizing and mitigating these biases in AI applications.
Ethical Issues and Biases in Large Language Models
Angeline Yasodhara explores the ethical challenges and biases associated with large language models (LLMs). She examines the difficulties of fostering creativity within LLMs while avoiding the propagation of misinformation. Her work focuses on the ethical implications of LLM use and the importance of addressing bias in AI development.