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Models & Navigation

This guide covers Ollama’s interface components and model selection for healthcare consulting work.

  • Access to previous chats
  • Organized conversation history
  • Quick navigation between conversations
  • Dropdown menu for available models
  • Model-specific capabilities
  • Performance considerations
  • Main interaction area
  • Prompt input
  • Response display
  • Document upload capability
  • Copy response
  • Regenerate response
  • Provide feedback (thumbs up/down)
  • Share responses
  • Primary Recommendation
  • Ideal for draft generation
  • Market research
  • Strategic analysis
  • Optimized for multiple users
  • Visual Analysis
  • Chart and slide analysis
  • Visual market data interpretation
  • Image-based insights
  • Institutional Knowledge
  • Past project access
  • Healthcare expertise
  • Consulting methodologies
  • Framework knowledge
  • Response times may vary with multiple users
  • Llama 3.2 optimized for high-volume usage
  • Consider timing for complex analyses
  1. Use Llama 3.2 for routine tasks
  2. Leverage Candesic Guru for healthcare-specific insights
  3. Apply Gemma3 Vision for visual data analysis
  4. Consider performance during peak usage times
  • Match model to task requirements
  • Consider response time needs
  • Factor in complexity of analysis
  • Account for concurrent users
  • Organize conversations by project
  • Use clear naming conventions
  • Save important conversations
  • Leverage search functionality
  • Schedule complex analyses during off-peak hours
  • Break large tasks into smaller chunks
  • Save successful prompts for reuse
  • Monitor response times
  • All interactions within Candesic’s infrastructure
  • Safe for confidential client information
  • No external training of models
  • Project-specific chat isolation
  • Microsoft account authentication
  • Role-based access
  • Project-specific permissions
  • Secure document handling
  • Contact technology team for questions
  • Access internal knowledge base
  • Share best practices with team
  • Report performance issues