2024-10-27 –, CLASS #4 - 3A
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 in Python ecosystems.
It begins by highlighting Python's significant role in AI/ML development, Generative AI, and the foundation of Generative Models (VAE, GANs, Transformers). The discussion then advances to more complex topics, such as Multimodal Retrieval-Augmented Generation (RAG) systems and the integration of vector databases to enhance Generative AI capabilities.
Key topics include ensuring fairness, transparency, and accountability in Generative AI models, mitigating biases, and safeguarding user privacy. The emphasis will be on practical techniques for integrating ethical considerations into AI development, thereby fostering trust and creating a 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.