How ChatGPT Works: Explained by Deep-Fake Ryan Gosling
In this video, a deep-fake version of Ryan Gosling, created using ElevenLabs and SyncLabs, explains the high-level workings of Large Language Models (LLMs) like ChatGPT. The video begins with an introduction to LLMs, describing them as artificial intelligence models designed to understand and generate human language. These models can perform tasks such as language translation, text composition, question answering, code writing, document summarization, and engaging in human-like conversation.
The video lists well-known examples of LLMs, including GPT-4 by OpenAI, Gemini by Google, Claude 3 by Anthropic, Mistral by Mistral AI, LLaMA by Meta, and Grok by X. Some of these models are open source, allowing for collaboration and innovation, while others are commercial, offering support and unique features for businesses.
Ryan Gosling’s deep-fake then delves into the inner workings of an LLM, explaining the text-to-text generation process. This involves splitting the input prompt into tokens, converting these tokens into numerical embeddings, and using a self-attention mechanism to create context-aware embeddings. The model then decodes these embeddings into an output, generating one token at a time based on the embeddings matrix.
The video uses an example prompt asking for a motivational speech from a football coach to illustrate the process. It explains how tokens are generated, transformed into embeddings, and how the self-attention mechanism refines these embeddings based on context.
The video also compares the workings of LLMs to generating the story of one’s life, highlighting the importance of context and history in predicting future events. It concludes by explaining the acronym GPT, which stands for Generative Pre-trained Transformer, emphasizing the model’s ability to generate output, use pre-trained parameters, and employ a transformer architecture.
The host encourages viewers to like the video, subscribe for more content on generative AI, and leave comments with questions or topics of interest.