Generative AI, a versatile form of artificial intelligence, is not limited to data analysis. It can handle various data types, including text, images, videos, music, and speech. This adaptability is a key factor in its transformative impact on our interaction with technology.
Large Language Models (LLMs) are at the heart of Generative AI, which learns by analyzing extensive data to identify patterns and comprehend language. An LLM can be likened to a brilliant system that can predict the next word in a sentence based on the preceding words.
Modern language models use advanced neural network techniques, like OpenAI's GPT-4, Google's Bard, or Meta's Lama. These networks are made up of layers that process information in a way that's somewhat like how our brains work. They break down text into smaller parts, called tokens, which could be as small as a single letter or as large as a whole word. These tokens then become numbers representing their meaning and relationships with other words. These models are trained on a broad data set to get a general understanding of language. After that, they can be finely tuned for tasks like answering customer questions or generating creative content.
In today's world, we see everyone, including a school student, using AI to speed up their research because of its remarkable speed and efficiency. It helps us validate and generate new ideas. When we compare it with employees in tech companies, we see that they use AI to debug or write codes, amazed by its quick problem-solving abilities.
Generative AI also helps you create content or PPTs and can access all the data you provide. We see a few errors, and we try to minimize the mistakes to get the correct accuracy, which would take us a few hours to debug the code, but now, with the help of AI, we can quickly fix the error and generate the correct results.
To simplify, AI is like a protein bar. Once you eat one and like the taste, you probably go back and grab another one, just like AI. Once you get your results, it makes you feel good, and then you go back to the same, which makes you happy.
Keep up the great work!
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