Introduction to the ModelScope Classroom Project
ModelScope Classroom is an ever-evolving collection of deep learning tutorials nestled within the ModelScope community. It serves as a treasure trove for AI enthusiasts and developers seeking to expand their knowledge and hone their skills in various deep learning operations such as training, inference, deployment, and application building. The platform is structured to offer a comprehensive learning pathway that accommodates both beginners and experienced practitioners in the AI field.
Latest Updates
ModelScope Classroom is committed to keeping its content fresh and relevant. The team frequently updates the tutorials to ensure learners are exposed to cutting-edge techniques and methodologies in AI. Here are some highlights from the recent updates:
- October 30, 2024: A new full-process dataset training notebook for Zhihu data has been added. This resource is perfect for those looking to understand the complete workflow of dataset training.
- October 22, 2024: The platform now includes a technical investigation on OpenAI-O1, focusing on the complex inference capabilities of large models.
- June 14, 2024: Expanded content on human preference alignment training offers insights into aligning machine learning models with human preferences.
- May 16, 2024: Two comprehensive analyses were introduced, covering quantization techniques and LISA (Learning Interactions for Speech and Audio) fine-tuning methodologies.
- April 12, 2024: A significant addition is the tutorial on training using the ModelScope-Agent as part of the AgentFabric framework—a version inspired by the community's take on the OPENAI Store's AgentFabric.
- March 12, 2024: Completion of the LLM (Large Language Model) series tutorials, offering an extensive suite of documents that guide learners from the basics of deep learning to deployment strategies.
- March 6, 2024: The introduction of the SD-AIGC (Synthesized Data-Artificially Generated Content) series, which includes tutorials and demos on generating videos from text using technologies like DiT, ViViT, and diffusion techniques.
Key Features
Comprehensive Learning
ModelScope Classroom provides a well-rounded education in AI, featuring courses that cover the entire spectrum of learning and application – from foundational knowledge to advanced techniques.
Regular Content Refresh
To ensure learners are armed with the most current information, the platform updates its content regularly. These updates incorporate breakthroughs and new methodologies in the AI space, ensuring that students and developers are always learning the most effective and up-to-date techniques.
Diverse Tutorials
The platform hosts a diverse array of tutorials, encompassing a wide variety of topics in AI and machine learning. Whether it's understanding dataset processes or delving into complex models, there is something for everyone.
Community-Centric Resources
Being part of the ModelScope community, the resources and tutorials resonate with the community's needs, fostering a shared environment for learning and innovation.
In summary, ModelScope Classroom is a continually evolving educational resource for AI and machine learning enthusiasts. It offers an extensive collection of tutorials that cater to both newcomers and seasoned experts, ensuring that all participants have access to the latest information and techniques in the ever-advancing world of AI.