I’ ve created this short video that explains what an LLM is, how it is built and how it works. This is a non technical explanation for anyone aged 40 years plus that has no technical background, and follows on from the LLM explanation video using a talking parrot. The video transcript and slide show is shown below.

Transcription:

“hello and welcome to my simple explanation videos about LLMs, what they are, how they’re built, and how they work [00:00]. This video is specifically for anyone round about 40 years old or above that has a nontechnical background [00:06].

A Large Language Model (LLM) is an AI that acts as a digital universal library and editorial team [00:12]. It’s built and trained by reading trillions of words to learn language patterns, grammar, and facts. Basically, it’s an advanced software that predicts the next word [00:19]. It understands patterns but does not understand meaning [00:26].

It’s built with billions of connections or threads that mathematically map all language relationships [00:33]. It’s trained or works by reading trillions of words that it can absorb and understand the patterns that make grammar, facts, and context [00:33].

It’s an excellent productivity tool for summarizing documents and providing high-quality writing systems [00:40], but it does have weaknesses. It can be prone to make up facts, which are called hallucinations [00:48], and the knowledge it has is static and it’s not real-time updated [00:53].

What it can do is help you to perform high-level drafting for reports, summaries, and create explanations of complex concepts [00:58]. What it cannot do is think or feel [01:05]. LLMs require human fact-checking for all critical output [01:05].

Now, if you do want a simpler explanation of what an LLM is, please see this video that I’ve shown below [01:12]. If not, please leave any questions or comments and I will get back to you. Thanks for your time, bye [01:17].”

Here is the slide show the video was based on: