Welcome to the fascinating world of Artificial Intelligence (AI). You’ve likely heard the term AI, as it’s become increasingly prevalent in our day-to-day lives, from our smartphones to our home appliances. <\/p>\n\n\n\n
Today, we’ll focus on a specific type of AI called a Large Language Model<\/em>, or LLM. What is an LLM, and why does it matter? It’s the method used to “train” most AI systems. Even if you’ve never actually used the new AI systems like ChatGPT<\/a> and Google Bard<\/a>, you’ve almost certainly used an LLM before. <\/p>\n\n\n\n AI is essentially about building machines and software that can think and learn like humans. It’s a broad field, but today’s spotlight is on a particular type of AI called a Language Model.<\/p>\n\n\n\n Imagine a friend who finishes your sentences for you\u2014sometimes it can be annoyingly accurate, right? That’s essentially what a Language Model does. <\/p>\n\n\n\n It’s a computer program designed to understand, generate and complete pieces of text. <\/p>\n\n\n\n Now, what makes a Large Language Model “large” is its remarkable ability to understand and generate text based on a significantly larger volume of data. An example of an LLM is OpenAI’s GPT-3, a model that was trained on a vast amount of internet text<\/a>. You can see whether your favorite website was part of the training data here<\/a>.<\/p>\n\n\n\n Now, you might be wondering where you would encounter these LLMs. The truth is, they’re closer than you think. <\/p>\n\n\n\n Have you ever asked Siri, Alexa, or Google Assistant a question? Or perhaps used Google Translate? These services often use LLMs to understand and respond to your queries.<\/p>\n\n\n\n Have you ever asked Siri, Alexa, or Google Assistant a question? Or perhaps used Google Translate? These services often use LLMs to understand and respond to your queries.<\/em><\/p>\n<\/blockquote>\n\n\n\n How does an LLM work? Think of it as a gigantic sponge that soaks up vast amounts of text data. It learns patterns, structures, and information from what it has ‘read’ during its training. For instance, if it’s read many books, articles, and websites, it can generate text that seems quite humanlike because it’s seen how humans write and communicate.<\/p>\n\n\n\n This ‘learning’ happens during a process called training<\/em>, where the LLM sifts through large amounts of data, learning and predicting what text should come next based on the text it’s already seen.<\/p>\n\n\n\n LLMs have immense potential in the technology landscape. They can help make technology more accessible and interactive. For instance, LLMs can assist those with visual impairments by reading text out loud or help non-native speakers by translating text or simplifying complex language.<\/p>\n\n\n\n They also boost efficiency. <\/p>\n\n\n\n Virtual assistants powered by LLMs can schedule appointments, answer queries, and even draft emails, saving us time for the things that matter most.<\/p>\n\n\n\n For a few other ideas on what LLMS like ChatGPT can do, see:<\/p>\n\n\n\n
\n\n\n\n\n\n\n\nWhat is an LLM? A Simplified Explanation<\/h2>\n\n\n\n
\n\n\n\nLLMs in Everyday Life<\/h2>\n\n\n\n
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Understanding How LLMs Work<\/h2>\n\n\n\n
Importance and Benefits of Large Language Models<\/h2>\n\n\n\n