Natural Language Processing

Definition: The field of AI that deals with the interaction between computers and humans through natural language.

Better definition: Teaching computers to understand human lingo, so they can finally join our group chats.

Where does this fit in the AI Landscape?

Natural language processing (NLP) has revolutionized the way we interact with technology, enabling voice assistants, chatbots, and advanced translation tools. It's an essential component of modern AI systems and has transformed industries like customer service, marketing, and content creation.

What are the real world impacts of this?

NLP enables our devices to understand and generate human language. This technology powers chatbots, voice assistants, and language translation apps, making technology more accessible and communication easier. For developers, NLP offers the opportunity to work on applications that can interact with users in intuitive and human-like ways.

What could go wrong in the real world with this?

An NLP model is designed to write catchy jingles for advertisements but ends up creating an earworm that haunts listeners for weeks, causing a nationwide epidemic of people humming the tune.

How this could be used as a component for an AI Coding platform like Codeium

Essential for the chat feature, as it helps the platform understand and generate human language. Also used for code autocompletion, as coding languages have structure and syntax similar to natural languages.