PART 1.
1. Large Language Models (LLMs) are trained on vast amounts of language data, meaning everything available on the internet. This training allows users to generate new content, such as thoughts, essays and code. LLMs rely on basic math concepts and probability to generate new content. Additionally, these models need context provided by neural networks. These neural networks are trained extensively to predict what comes next in a sequence. Human intervention and study is available to fine tune the tool so that it works at the highest level of accuracy. It’s truly amazing.
2. Generative AI is primarily focused on creating new content, such as images, videos, music, or text. Its goal is to generate new and creative outputs that mimic human-like patterns. In contrast, Predictive AI aims to make predictions about future events based on historical data. Its primary purpose is to analyze patterns in data to forecast potential outcomes or trends.
1. Large Language Models (LLMs) are trained on vast amounts of language data, meaning everything available on the internet. This training allows users to generate new content, such as thoughts, essays and code. LLMs rely on basic math concepts and probability to generate new content. Additionally, these models need context provided by neural networks. These neural networks are trained extensively to predict what comes next in a sequence. Human intervention and study is available to fine tune the tool so that it works at the highest level of accuracy. It’s truly amazing.
2. Generative AI is primarily focused on creating new content, such as images, videos, music, or text. Its goal is to generate new and creative outputs that mimic human-like patterns. In contrast, Predictive AI aims to make predictions about future events based on historical data. Its primary purpose is to analyze patterns in data to forecast potential outcomes or trends.