2024-10-27 –, CLASS #4
Language: English
The advancement of generative AI technologies has opened new frontiers in creativity and automated creation. However, there are several issues and concerns that need to be mitigated.
This talk explores the essentials of building responsible generative AI within Python ecosystems. It begins by exploring Python's integral role in AI/ML development, providing a foundation for generative AI. The discussion then progresses to more advanced topics, including Multimodal Retrieval-Augmented Generation (RAG) systems and the integration of vector databases to enhance AI capabilities.
Key topics include ensuring fairness, transparency, and accountability of AI models, mitigating biases, and safeguarding user privacy. Emphasis will be placed on conceptual techniques to integrate ethical considerations into AI development, thereby promoting trust and positive societal impact.
AI/ML Engineer
Hi, my name is Mustafid ! 👋
I hold a Master's degree in Computer Science from RPTU Kaiserslautern-Landau in Germany, with research experience at the German Research Center for Artificial Intelligence (DFKI). My primary focus areas are Deep Learning and Explainable AI.
Currently, I provide expertise in Artificial Intelligence for several industrial's clients, ensuring AI applications adhere to industry standards and regulatory requirements. I also lead training sessions and strategic guidance on cutting-edge AI technologies.