Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Mistral Multimodal Models
- Overview of Mistral Medium and its multimodal capabilities
- OCR and document models along with their use cases
- Integration within open-source ecosystems
OCR and Vision Pipelines
- OCR fundamentals using Mistral models
- Preprocessing images and scanned documents
- Extracting structured text from images
Document Understanding
- Designing NLP pipelines for document processing
- Entity recognition, summarisation, and classification
- Cross-modal linking of text and vision data
Search and Knowledge Applications
- Vision-text search systems
- Building semantic search using 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 Optimisation
- 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
- A solid understanding of natural language processing concepts
- Experience with Python and machine learning frameworks
- Familiarity with the fundamentals of computer vision
Audience
- Product teams
- ML researchers
- Applied ML engineers
14 Hours
