Open-Source AI
Artificial Intelligence is shaping the modern world. This talk explores how open-source frameworks and tools are democratizing AI, empowering anyone to build, train, and deploy intelligent systems freely and transparently.
We’ll take a practical look at major open-source AI frameworks, including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers, and explain their roles in developing everything from classical machine learning models to large language models. The session will also highlight essential open-source tools for data processing, model visualization, and deployment.
We will use some real-world projects and discuss the importance of open-source contributions in the field of AI. As AI is a buzzword nowadays, it's essential to have a clear understanding of it, not only following the trend but also utilizing it in a better way and automating tasks to reduce human effort.
Duration: ~15 minutes
Target Audience:
Students, developers, researchers, and FOSS enthusiasts interested in AI and open technologies.
Understand the ecosystem of open-source AI frameworks.
Use open-source tools to build real world projects.
Recognize how open-source promotes fairness, collaboration, and transparency in AI