This is part 2 of 6 posts introducing ChatGPT and a path forward to consider for adoption and learning growth. Part 1 of 6 (Introduction) can be found here.
A brief description of GenAI and ChatGPT is provided below. “Zooming out” to take a higher view helps to clarify where the ChatGPT LLM fits into the picture of the larger theme of GenAI.
Prompting ChatGPT with “Please describe the concept of generative AI and how LLMs such as ChatGPT fit into the concept,” this helpful explanation was generated:
“Generative AI refers to a type of artificial intelligence that can generate content, whether text, images, music, or any other form of media. It’s not just about analyzing or processing existing information but creating new, original content based on the data it has been trained on.
Within the realm of generative AI, Language Models (LMs) like GPT (Generative Pre-trained Transformer) are specialized in understanding and generating human-like text. These models are a subset of generative AI focused explicitly on natural language processing (NLP), the domain concerned with the interaction between computers and human language.
ChatGPT, a variant of the GPT model, fits into the concept of generative AI as a state-of-the-art language model. Here’s how:
- Pre-training on Diverse Corpus: ChatGPT, like other LMs, is pre-trained on a vast and diverse text corpus. This pre-training allows the model to understand language patterns, grammar, context, and writing styles.
- Generative Capabilities: ChatGPT can generate coherent and contextually relevant text based on the input received after pre-training. It’s not just retrieving answers from a database but generating them, often creating content that didn’t exist before.
- Fine-tuning for Specific Tasks: While the base model is already powerful, ChatGPT can be fine-tuned for specific tasks or exhibit certain stylistic or thematic preferences in its output. This makes it highly versatile and adaptable to different domains.
- Understanding and Generating Contextually Relevant Content: ChatGPT, especially in its latest iterations, is adept at understanding context and generating relevant content. It can continue a conversation, answer questions, write stories, code software, and much more, often in a remarkably human-like way.
In the broader picture of generative AI, LLMs like ChatGPT represent a significant leap forward in our ability to automate and enhance various text-based tasks and interactions. They are key players in the ongoing evolution of AI, pushing the boundaries of what machines can understand and create in terms of human language.”
Ernst & Young overview – GPT component of Artificial Intelligence