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 Duur 21 uren

Cursusaanbod

Introduction to Multimodal AI and Ollama

  • Overview of multimodal learning
  • Key challenges in vision-language integration
  • Capabilities and architecture of Ollama

Setting Up the Ollama Environment

  • Installing and configuring Ollama
  • Working with local model deployment
  • Integrating Ollama with Python and Jupyter

Working with Multimodal Inputs

  • Text and image integration
  • Incorporating audio and structured data
  • Designing preprocessing pipelines

Document Understanding Applications

  • Extracting structured information from PDFs and images
  • Combining OCR with language models
  • Building intelligent document analysis workflows

Visual Question Answering (VQA)

  • Setting up VQA datasets and benchmarks
  • Training and evaluating multimodal models
  • Building interactive VQA applications

Designing Multimodal Agents

  • Principles of agent design with multimodal reasoning
  • Combining perception, language, and action
  • Deploying agents for real-world use cases

Advanced Integration and Optimization

  • Fine-tuning multimodal models with Ollama
  • Optimizing inference performance
  • Scalability and deployment considerations

Summary and Next Steps

Vereisten

  • Strong understanding of machine learning concepts
  • Experience with deep learning frameworks such as PyTorch or TensorFlow
  • Familiarity with natural language processing and computer vision

Audience

  • Machine learning engineers
  • AI researchers
  • Product developers integrating vision and text workflows

Aangepaste bedrijfsopleiding

Opleidingsoplossingen ontworpen exclusief voor bedrijven.

  • Aangepaste inhoud: We passen de syllabus en praktijkopdrachten aan naar de echte doelen en behoeften van uw project.
  • Voor flexibel schema: Datums en tijden aangepast aan het rooster van uw team.
  • Formaat: Online (live), In-company (bij uw kantoren) of Hybride.
Investering

Prijs per privégroep, online live training, startend vanaf 4800 € + BTW*

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