Introduction
Session Overview: This session is a continuation of the previous series on creating AI Assistants.
Resources: Recordings and slide decks are available via SharePoint and newsletters.
Recap of Part 1
Basics of AI Assistants: Introduction to creating AI assistants and their practical uses.
Frameworks: Review of methods like the WOa method for developing AI assistants.
Today's Focus
Frameworks and Models: Introduction to additional prompting structures for developing AI assistants.
Practical Examples: Live demonstrations of frameworks.
Future of AI Assistants: Discussion on the development and potential of AI assistants.
AI Assistants Today
Common Examples: Alexa, Siri, Google Assistant, and Cortana.
Usage: Handle billions of requests annually, aiding in productivity and convenience.
Concerns: Privacy issues, algorithmic bias, and over-dependence.
Frameworks for Building AI Assistants
GROW Model: Goal, Reality, Options, Will.
Example: Improving capture management.
SMART Framework: Specific, Measurable, Achievable, Relevant, Time-bound.
CLEAR Model: Coaching framework for goal understanding and action steps.
PDCA Cycle: Plan, Do, Check, Act for continuous improvement.
5W1H Method: Who, What, Where, When, Why, How for understanding problems.
Demonstration and Practical Application
Creating AI Assistants:
Use GROW model to structure decision-making processes.
Implement 5W1H method for comprehensive problem understanding.
Future of AI Assistants
Evolution: Transition from task-minded tools to agentic systems.
AI Agents: Capable of handling complex workflows and making decisions without constant user intervention.
Integration: Use of natural language processing, computer vision, and speech-to-text to enhance capabilities.
Upcoming Topics and Features
Best Practices: Upcoming sessions on AI workflows and automation.
New Features: Introduction to new AI tools and functionalities.
Resources and Support
Intercom Guides: Access to detailed guides and video recordings.
Training and Support: Unlimited training available through live messaging.
Conclusion
Encouragement: Emphasis on learning to build AI assistants to prepare for future advancements.
Next Steps: Continue learning and experimenting with AI tools and frameworks.
Questions and Feedback
Engagement: Encourage participants to reach out for support and provide feedback on topics of interest.
If you have any questions or want to include any details that I may have overlooked, please let me know!