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Duration 14 hours
Course Outline
Introduction to Mistral Multimodal Models
- Overview of Mistral Medium and its multimodal features
- OCR and document models, including practical use cases
- Integration strategies within open-source ecosystems
OCR and Vision Pipelines
- Foundations of OCR leveraging Mistral models
- Techniques for preprocessing images and scanned documents
- Methods for extracting structured text from visual inputs
Document Understanding
- Designing effective NLP pipelines for document processing
- Techniques for entity recognition, summarization, and classification
- Linking text and vision data across modalities
Search and Knowledge Applications
- Implementing vision-text search systems
- Creating semantic search capabilities from OCR outputs
- Managing enterprise document repositories
Assistive and Interactive Applications
- UI design principles for multimodal assistants
- Accessibility-focused applications, such as vision-to-text conversion
- Developing real-world productivity tools
Performance and Optimization
- Strategies for scaling multimodal pipelines
- Tuning inference performance
- Balancing accuracy against efficiency
Case Studies and Future Directions
- Industry applications of multimodal AI
- Emerging research trends in OCR and document AI
- Considerations for responsible AI in vision-text tasks
Summary and Next Steps
Requirements
- A solid grasp of natural language processing principles
- Proficiency with Python and major ML frameworks
- A basic understanding of computer vision concepts
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 2600 € + VAT*
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