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
Fundamentals of Mistral Multimodal Models
- Exploration of Mistral Medium and its multimodal features
- Overview of OCR and document-specific models and their applications
- Integration strategies within open-source ecosystems
- Core principles of OCR using Mistral models
- Techniques for preprocessing images and scanned documents
- Methods for extracting structured text from visual inputs
OCR and Vision Pipeline Development
- Structuring NLP pipelines for document processing
- Implementing entity recognition, summarization, and classification tasks
- Connecting text and vision data across modalities
Advanced Document Understanding
- Architecting vision-text search systems
- Developing semantic search capabilities driven by OCR outputs
- Managing enterprise document repositories
Search and Knowledge Management Solutions
- Designing UIs for multimodal AI assistants
- Building accessibility tools, such as vision-to-text conversion
- Developing real-world productivity utilities
Assistive and Interactive Interfaces
- Strategies for scaling multimodal pipelines
- Optimizing inference performance
- Balancing accuracy against efficiency metrics
Performance Tuning and Optimization
- Real-world applications of multimodal AI in various industries
- Current research developments in OCR and document AI
- Ethical and responsible AI practices in vision-text tasks
Industry Case Studies and Emerging Trends
Conclusion and Future Recommendations
Requirements
- Solid grasp of natural language processing principles
- Proficiency in Python and mainstream ML frameworks
- Basic knowledge of computer vision concepts
Target Audience
- Product development teams
- Machine learning researchers
- Applied ML engineers
