Artificial Intelligence (AI) has been a hot topic lately, with popular tools like Alexa and Siri being just the tip of the iceberg. With the emergence of new AI technologies like ChatGPT, Dall-E, and Jasper, it’s no wonder that people are buzzing about their potential impact on our lives.
However, with any new technology, it can be overwhelming to understand the terminology and jargon associated with it. We’ve got you covered. In this blog post, we’ll break down some key terms you’ll likely encounter about AI.
Chatbot is an app that simulates human-to-human communication. ChatGPT is an example of a chatbot that uses natural language processing to understand and respond to user input.
Deep learning is a technique used to simulate the human brain by learning from data. Unlike traditional pre-programmed algorithms, AI tools learn from real-world conversations and interactions to provide human-like responses.
Machine intelligence is the umbrella term for machine learning, deep learning, and conventional algorithms. It’s the driving force behind the development of AI systems.
Natural Language Understanding (NLU) helps machines understand the meaning of what we say, even if we speak with different regional accents or make grammatical errors.
Weak AI is the most common form of AI in use right now. It’s non-sentient and typically focuses on a single or small range of activities.
Strong AI aims to produce systems that are as intelligent and skilled as the human mind, although it’s not yet achievable.
As AI becomes increasingly prevalent in our daily lives, it’s essential to understand the basics of this technology. We hope this article has helped demystify some standard AI terms you’ll likely encounter.
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