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Duration 7 hours
Course Outline
Intro to Lightweight LLMs
- Exploring compact model structures
- The progression of resource-efficient AI
- The importance of lightweight models for businesses
Getting to Know Nano Banana
- Primary features and design philosophy
- Model strengths and constraints
- Distinguishing Nano Banana from standard LLMs
Deployment Methods and Application Scenarios
- On-device processing and its advantages
- Local vs. cloud-based inference
- Choosing the optimal deployment route
Real-World Applications in Various Sectors
- Internal automation and knowledge support
- Customer interaction use cases
- Operational and regulatory compliance scenarios
Integration Basics
- Assessing system prerequisites
- Considerations for workflows and processes
- Overview of APIs and toolchains
Cost Reduction and Efficiency
- Leveraging compact models to lower inference costs
- Optimizing the balance between performance and resources
- Strategy for scalable implementations
Governance, Privacy, and Risk Control
- Safeguarding secure on-device operations
- Comprehending data limits and protective measures
- Adherence to corporate policies and standards
Getting Ready for Organizational Integration
- Developing internal skills and preparedness
- Measuring business value via pilot initiatives
- Establishing a foundation for expanded adoption
Recap and Future Actions
Requirements
- Basic knowledge of general IT principles
- Experience using fundamental software tools
- Awareness of data-centric business processes
Target Audience
- IT teams implementing AI functionalities
- Business professionals exploring practical AI uses
- Tech managers assessing on-device LLM strategies
Testimonials (1)
Flow , vibe and topic on presentation
