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Duration 14 hours
Course Outline
Introduction to Mistral Multimodal Models
- Overview of Mistral Medium and its multimodal capabilities
- OCR and document models: features and use cases
- Integrating with open-source ecosystems
OCR and Vision Pipelines
- Foundations of OCR using Mistral models
- Preprocessing techniques for images and scanned documents
- Extracting structured text from visual data
Document Understanding
- Architecting NLP pipelines for document processing
- Entity recognition, summarization, and classification tasks
- Linking text and vision data across modalities
Search and Knowledge Applications
- Developing vision-text search systems
- Implementing semantic search using OCR outputs
- Managing enterprise document repositories
Assistive and Interactive Applications
- UI design principles for multimodal assistants
- Accessibility features, such as vision-to-text conversion
- Real-world productivity tools and implementations
Performance and Optimization
- Scaling strategies for multimodal pipelines
- Tuning inference performance
- Balancing accuracy and efficiency trade-offs
Case Studies and Future Directions
- Industry applications of multimodal AI
- Emerging research trends in OCR and document AI
- Ethical and responsible AI practices in vision-text tasks
Summary and Next Steps
Requirements
- A solid grasp of natural language processing (NLP) concepts
- Proficiency in Python and major ML frameworks
- Basic knowledge of computer vision principles
Target Audience
- Product development teams
- ML researchers
- Applied ML engineers
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
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