Unless you have been living under a rock for the last 12 months Artificial Intelligence (AI) applications have recently exploded and is a rapidly evolving field with numerous applications, one of which is the development of large language models (LLMs). These are a type of generative pre-trained transformer (GPT) designed to create human-like text and code. Although there’s been a recent surge in conversation about GPTs and LLMs, they’ve been a part of our AI landscape for quite some time. In this blog post, I’ll offer a synopsis of a video in which Martin Keen explains what an LLM is, how it relates to foundation models, and its functionality. I will also discuss how LLMs can be applied to address an array of business issues.
LLM models
LLMs are models that are capable of understanding and generating human-like text. They are a form of GPT, which is a type of AI model that uses machine learning to generate coherent, realistic text. GPTs are trained on vast amounts of text data and are capable of predicting what word or phrase should come next in a sentence. This ability makes them effective in generating human-like text and code.
The relationship between LLMs and foundation models is quite significant. Foundation models are a subtype of pre-trained models that serve as a starting point for creating other models. LLMs fall under this category, as they are often used as a basis for generating more specific models.
How do large language models work?
Understanding how these large language models function is crucial. They operate through a process called unsupervised learning. To ‘train’ these models, vast amounts of text data are fed into them without any specific task in mind. The model then begins to recognize patterns and structures within the language. Over time, the LLM begins to understand the context and semantic meaning of the language. This comprehension allows the model to generate coherent, human-like text.
In terms of practical applications, LLMs can address a range of business problems. One of the most common uses is in chatbots and customer service. With their ability to generate human-like text, LLMs can power chatbots that provide customer support 24/7. They can answer frequently asked questions, assist with bookings, and even help troubleshoot problems.
Additionally, LLMs can be used for content creation. They can generate blog posts, articles, and social media content, saving businesses significant time and effort. They can also be used in areas like translation services, sentiment analysis, and predictive typing.
In summary, large language models are powerful tools in the world of AI. Their ability to generate human-like text and code has wide-ranging applications that can address various business challenges. While they’ve been around for years, advancements in AI and machine learning are continually unlocking new potentials for LLMs, pushing the boundaries of what’s possible. Their value to businesses is undeniable, making understanding how they function and how they can be utilized invaluable.
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