ASI, AGI, ANI, AI, ML Simplified

Just when the world’s awareness and understanding is beginning to get better around AI, folks mainstream nuanced terms and make AI concepts less accessible. In the absence of an accepted global standard/benchmark for AI models, the risk of not achieving shared understanding is quite high. Obviously, NLP != NLU. Change introduction is perhaps important to be mindful of.

Does this image leave you with lots more questions?

ML vs AI vs ANI vs AGI vs ASI
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About Ravi Jay

Ravi is enthusiastic about all things Agile & Digital in service of building Products that people love to use. Welcomes a good chat on Conversational AI & Gamification. Talk to Ravi on Twitter @ravi_jay1 using #ThinkLookActDigital.

How does Syntax, Semantics and Pragmatics apply to everything?

How does Syntax, Semantics and Pragmatics apply to everything?

Before we begin, let’s share our understanding about Syntactics, Semantics and Pragmatics with a simple refresher; broadly speaking, there are 3 kinds of ellipsis:
1) Syntax: Programming languages have constructs with which you write software to get machine to do something exactly how you want it. When we grew up, our parents told us how to ‘sit’ or ‘sleep’ or ‘stand’ – and so we did. And, we learned.
2) Semantics: Learning how to write software comes with the realization that there is more than way to tell the machine to do something exactly how you want it. Granted the programming constructs (and syntax) exist, but the way we craft commands differ from person to person. As we grew up, we learned that there is more than 1 way to sit, stand and sleep and more than once place to do it. And, we evolved our application of learning.
3) Pragmatics: As we started learning more than 1 programming language, we started to think about context and how to get what we want in a good way rather than focus on syntax itself. As we grew up, we started to think why we sit or sleep and realized that ‘rest/relaxation’ is what we want and there are many ways to get ‘rest’ and it depends on where we are and who we are with. And, we started thinking less about what we say/do and more about outcomes we want to drive in that context.
How important is context to understand meaning
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What will happen when Conversational UI disrupts as expected?

What will happen when Conversational UI disrupts as expected?

Before we begin, let’s share our understanding about Conversational UI with a simple refresher; (very) broadly speaking, there are 2 types:
– Voice agents: We interact with machines by speaking to them in our natural language (eg: English). Voice driven interfaces like Siri, Cortana and Echo are examples.
– Chat bots: You could engage in a chat conversations in Natural language (English) without being limited (too much) by syntactical constructs. Messaging platforms like SlackBot, Facebook Messenger etc are examples.

Conversational UI design - header
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