A personal productivity assistant that utilizes Retrieval-Augmented Generation (RAG). Allows users to chat with their documents and apps using various AI models. A local and private alternative to OpenAI GPTs and ChatGPT.
Key concept: Setting mental models can help users understand how to interact with products that adapt over time. This chapter covers:
Identifying existing mental models
Onboarding in stages
Planning for co-learning
Accounting for user expectations of human-like interaction
Key concept: To build effective mental models of AI-powered products, consider what you want people to know about your product before their first use, how to explain its features, and when it will need feedback from them to improve.
There's no intelligence in current AI systems, but apparently we think there is, and then get surprised when it gives wrong answers. Why is this, and what will happen when we get real intelligent systems?
This talk gives an introduction to AI as we currently know it, examines how we interact with it, and envisions the consequences of real AI emerging.
an experiment with Google Bard AI, utilizing a Knowledge Graph for semantic compression to improve language model integration and narrative continuity in fiction.
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