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
- An overview of Mistral Medium and its multimodal capabilities.
- Applications of OCR and document models in real-world scenarios.
- Integration strategies within open-source ecosystems.
OCR and Vision Pipelines
- Fundamentals of OCR using Mistral models.
- Techniques for preprocessing images and scanned documents.
- Methods for extracting structured text from visual data.
Document Understanding
- Designing effective NLP pipelines for document processing.
- Implementing entity recognition, summarisation, and classification.
- Linking text and vision data across modalities.
Search and Knowledge Applications
- Architecting vision-text search systems.
- Building semantic search capabilities leveraging OCR outputs.
- Managing enterprise document repositories.
Assistive and Interactive Applications
- Designing user interfaces for multimodal assistants.
- Accessibility-focused applications, such as vision-to-text conversion.
- Developing practical, real-world productivity tools.
Performance and Optimisation
- Strategies for scaling multimodal pipelines.
- Tuning inference performance for optimal results.
- Balancing accuracy and efficiency trade-offs.
Case Studies and Future Directions
- Examining industry applications of multimodal AI.
- Exploring research trends in OCR and document AI.
- Considering responsible AI practices in vision-text tasks.
Summary and Next Steps
Requirements
- A solid grasp of natural language processing concepts.
- Proficiency with Python and machine learning frameworks.
- A foundational understanding of computer vision principles.
Target Audience
- Product teams
- ML researchers
- Applied ML engineers
