Ai – the Art of Artificial Intelligence

What is Artificial Intelligence?

AI, or Artificial Intelligence, is like having a computer system that can think and learn, kind of like how you’re doing now. Think of it as a smart friend who helps you with things using its computer brain and the knowledge it has gathered. AI is everywhere these days, from your smartphone’s voice assistant to the recommendations you see on online shopping websites. It’s all about making life easier and more fun!

Here’s how it works
  1. Learning: AI can learn from lots of information and experiences, just like you learn from reading books or talking to people.
  2. Thinking: It can make decisions and solve problems by thinking things through, a bit like when you figure out a puzzle or decide what game to play next.
  3. Helping: AI can help with all sorts of tasks, from answering questions on the internet to driving cars safely, and even making recommendations like suggesting movies or products you might like.
What makes Ai like Chat GPT different from search engines?

Simply put, when you search via a search engine like Google, you generally need to think in terms of keywords targeting specific information you’re looking for. For example, if you were to ask Google a direct question like summerise fashion trends of the 1970s, you would be presented with several sites containing information about 1970 dress trends. It will be up to you to troll through the sites gathering snippets of information.

Ai engines understand context much better than search engines, though no doubt the future of the engine in search lies with Ai. If you asked Chat GPT the very same question, you would receive a nuanced summary of styles and apparel donned by the bell-bottom generation. With that said, Here’s ChatGPT’s reply:

Fashion trends of the 1970s were characterized by a vibrant mix of styles that reflected the era’s cultural and social changes. The decade started with a continuation of late 1960s fashion, featuring bold patterns, mini skirts, and psychedelic prints. As the ’70s progressed, fashion embraced a more eclectic approach, with influences from disco, bohemian, and hippie styles. Key trends included flared pants, bell-bottoms, platform shoes, maxi dresses, peasant blouses, and bold colors like earthy tones, oranges, and browns. Denim became a staple, and jumpsuits gained popularity. Additionally, accessories such as wide-brimmed hats, oversized sunglasses, and statement jewelry were iconic elements of ’70s fashion. This era celebrated individuality, and fashion choices ranged from glamorous disco attire to free-spirited, laid-back boho chic, making it a diverse and memorable period in fashion history.

Here’s the nuance. Fashion trends of ’70s as written above were not ubiquitous. Viewed on the catwalk, these trends indeed marked the styles coming out of the various fashion houses and boutiques in the Western world. However, it’s doubtful cowboys in Montana donned paisley shirts and floral-rimmed sunglasses or Indian Sikhs traded traditional turbans for velvet trilbies.
On evaluating the request, ChatGPT understood the context of the question by measuring what it understood about you, your location and your demographics. It gathers this metadata in many ways. Here is how Chat GPT defines itself:

ChatGPT understands context and differences by analyzing the text it receives and generating responses based on patterns and information present in the text. This is how it works:

  1. Text Analysis:
    ChatGPT takes the input text, which can be a question or statement, and analyzes it for keywords, phrases, and context. It pays attention to the specific words and phrases used, as well as the overall structure of the input.
  2. Knowledge Incorporation:
    ChatGPT has been trained on a vast amount of text data from the internet. While it doesn’t have real-time access to the internet or current events, it has knowledge up until its last training data in 2022. This knowledge allows it to understand general facts, concepts, and trends.
  3. Pattern Recognition:
    ChatGPT recognizes patterns in the input text, including mentions of specific topics, locations, or demographics. It uses this information to generate responses that are relevant to the context provided.
  4. Response Generation:
    When generating responses, ChatGPT considers the context it has gathered from the input. It attempts to provide answers or explanations that are coherent and relevant to the specific context presented in the question or statement.
  5. Awareness of User Profile:
    In this conversation, ChatGPT is aware of the user’s profile, which mentions the user’s role as an IT support professional in Australia. While this information is not always directly relevant, it can help guide responses when the user’s questions or statements relate to IT, business, or Australia.
  6. Contextual Memory:
    ChatGPT also has a limited “short-term” memory within the conversation. It can remember information mentioned earlier in the same conversation and use it to provide more contextually relevant responses.

It’s important to note that ChatGPT’s understanding is based on patterns and information it has learned from its training data, and it doesn’t possess personal awareness or consciousness. It aims to provide helpful and relevant responses by analyzing the text input and drawing upon its training data up to its knowledge cutoff date in 2022.

Ok, you may be thinking who wrote this post, a human or CHAT GPT? We wrote everything outside the green background. Everything in green was from Chat GPT though we did adust the grammar here and there. This is but a sample of the power of Ai transitioning into society as we speak We’ll post more on Ai soon.

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