Keynote The past, present, and future of AI for application developers - Steve Sanderson
AI Summary
Summary of AI in Application Development Talk
Speaker: Steve from Microsoft
Overview:
- Introduction to AI applications for developers
- Discussion on AI’s evolution and historical context
Key Topics Discussed:
- Historical Context of AI:
- Alan Turing’s Imitation Game (Turing Test)
- Early AI applications like chatbots (e.g., ELIZA)
- Phases of AI Development:
- Chatbots based on string replacements
- Markov models and text generation techniques
- Transition to more advanced models (GPT-1, GPT-2)
- Modern AI Approaches:
- Introduction of Transformer Networks
- Need for efficient language representation
- Practical AI Implementations:
- Building AI systems that produce contextually relevant text
- Integration of AI functionalities in applications for tasks like:
- Weather lookup
- Document retrieval
- Text classification
- Real-time AI Assistants:
- Development of intelligent assistants that enhance user experience
- Examples of voice-based interactions for task completion
Demos Presented:
- Demonstration of ELIZA chatbot’s source code and function
- Markov-style text generation implemented in C#
- Real-world examples of data classification and extraction
- Showcasing voice-enabled functions for applications
Conclusion:
- Encouragement to explore AI capabilities in software
- Discussion on future prospects of AI in development environments