Schița de curs
Introduction to Ollama in Finance
- Understanding local LLM deployment
- Benefits of on-device AI in finance
- Key capabilities and limitations of Ollama
Setting Up Ollama for Financial Environments
- System setup and model installation
- Configuration techniques for financial tasks
- Managing secure environments
Core Finance Use Cases
- Automated financial reporting
- Risk assessment and analysis assistance
- Market summarization and insights
Customizing and Fine-Tuning Models
- Prompt engineering for finance scenarios
- Domain-specific data enhancement
- Balancing accuracy and performance
System Integration and Automation
- API connections and workflows
- Integration with financial systems and tools
- Scripting for automated financial processes
Governance, Security, and Compliance
- Ensuring data confidentiality
- Compliance with financial regulations
- Best practices for secure deployment
Model Evaluation and Validation
- Accuracy measurement techniques
- Risk mitigation and validation workflows
- Continuous model improvement
Operational Deployment and Support
- Monitoring and optimization strategies
- Versioning and updating models
- Resolving common technical issues
Summary and Next Steps
Cerințe
- An understanding of financial workflows
- Experience with data analysis or financial systems
- Familiarity with basic AI or machine learning concepts
Audience
- Finance professionals
- Financial IT teams
- Analysts and technical administrators
Mărturii (2)
m-a deschis mintea spre noi unelte care îmi pot ajuta în crearea de automate
Alessandra Parpajola - Advanced Bionics AG
Curs - Machine Learning & AI for Finance Professionals
Tradus de catre o masina
Am apreciat foarte mult modul în care antrenorul a prezentat totul. Am înțeles totul chiar dacă Finance nu este domeniul meu, el s-a asigurat că fiecare participant era pe aceeași pagină, păstrându-se la pas cu timpul rămas. Exercițiile au fost plasate la intervale bune. Communication cu participanții a fost întotdeauna prezent. Materialele erau perfecte, nici prea multe, nici prea puține. El a explicat foarte bine subiectele mai complicate pentru ca toată lumea să le poată înțelege.
Diana
Curs - ChatGPT for Finance
Tradus de catre o masina