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.
Duration 14 hours
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 with open-source ecosystems
OCR and Vision Pipelines
- OCR fundamentals leveraging Mistral models
- Preprocessing images and scanned documents
- Extracting structured text from visual data
Document Understanding
- Designing NLP pipelines for document processing
- Entity recognition, summarization, and classification techniques
- Cross-modal linking of text and vision data
Search and Knowledge Applications
- Vision-text search systems
- Building semantic search capabilities using OCR outputs
- Managing enterprise document repositories
Assistive and Interactive Applications
- UI design for multimodal assistants
- Accessibility applications, such as vision-to-text conversion
- Real-world productivity tools
Performance and Optimization
- Scaling multimodal pipelines
- Inference performance tuning
- Evaluating trade-offs between accuracy and efficiency
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
- Foundational understanding of natural language processing concepts
- Practical experience with Python and ML frameworks
- Familiarity with the basics of computer vision
Audience
- Product teams
- ML researchers
- Applied ML engineers
