Multimodal Applications with Mistral Models (Vision, OCR, & Document Understanding) Training Course
Mistral models are open-source AI technologies that now extend into multimodal workflows, supporting both language and vision tasks for enterprise and research applications.
This instructor-led, live training (online or onsite) is aimed at intermediate-level ML researchers, applied engineers, and product teams who wish to build multimodal applications with Mistral models, including OCR and document understanding pipelines.
By the end of this training, participants will be able to:
- Set up and configure Mistral models for multimodal tasks.
- Implement OCR workflows and integrate them with NLP pipelines.
- Design document understanding applications for enterprise use cases.
- Develop vision-text search and assistive UI functionalities.
Format of the Course
- Interactive lecture and discussion.
- Hands-on coding exercises.
- Live-lab implementation of multimodal pipelines.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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Course Outline
Introduction to Mistral Multimodal Models
- Overview of Mistral Medium and multimodal capabilities
- OCR/document models and use cases
- Integration with open-source ecosystems
OCR and Vision Pipelines
- OCR fundamentals with Mistral models
- Preprocessing images and scanned documents
- Extracting structured text from images
Document Understanding
- Designing NLP pipelines for documents
- Entity recognition, summarization, and classification
- Cross-modal linking of text and vision data
Search and Knowledge Applications
- Vision-text search systems
- Building semantic search with OCR outputs
- Enterprise document repositories
Assistive and Interactive Applications
- UI design for multimodal assistants
- Accessibility applications (e.g., vision-to-text)
- Real-world productivity tools
Performance and Optimization
- Scaling multimodal pipelines
- Inference performance tuning
- Evaluating accuracy and efficiency trade-offs
Case Studies and Future Directions
- Industry applications of multimodal AI
- Research trends in OCR and document AI
- Responsible AI considerations in vision-text tasks
Summary and Next Steps
Requirements
- An understanding of natural language processing concepts
- Experience with Python and ML frameworks
- Familiarity with computer vision basics
Audience
- Product teams
- ML researchers
- Applied ML engineers
14 Hours
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