“Artificial Intelligence (AI) has, in recent years, become a fascinating blend of science and magic, with large language models (LLMs) at the forefront of this revolution. Imagine a machine that can chat with you like a friend, help you craft the perfect email, or even compose a poem—a language model does just that. These AI systems, like OpenAI’s GPT series, learn from vast amounts of text data to understand and generate human-like language. They’re designed to predict the next word in a sentence, enabling them to assist in countless creative and practical ways, making technology feel a little more human.”
- OpenAI, gpt-4o
Following below are three applications showcasing various ways in which LLMs are used for specific scenarios.
1 Classify a question and assign it to the most adequately trained AI agent
AI agents can be trained in specific fields, eg health care or manufacturing, etc and then become specialists in that field. When a question is posed it should first be classified (by an AI classifier model) and then sent to the relevant agent for a response.
2 Use external tools to access data
AI models are typically trained on a fixed data set that does not include real-time information or updates after a certain point in time. This means that while they can provide information and insights based on the data available up to their last update, they don’t have the capability to access or process real-time data directly.
These models can however be provided with tools that can collect this data for them.
3 Convert free text into structured data
The final app illustrates how to get text from an article or image and turn it into structured data that can in turn be used by traditional data mining techniques.
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