Glossary References ChatGPT is a generative AI chatbot interface built on top of OpenAI’s GPT-3.5 1. ChatGPT sets record for fastest-growing user base - analyst note, Reuters, February 2023 large language model (see below). ChatGPT (and ChatGPT plus, which uses https://www.reuters.com/technology/chatgpt-sets-record-fastest-growing-user-base-analyst-note-2023-02-01/ GPT-4) allows users to interact with the underlying AI in a way that seems 2. The Next Big Breakthrough in AI Will Be Around Language, Harvard Business Review, September, 2020 remarkably accurate and feels surprisingly human. You can ask it to explain https://hbr.org/2020/09/the-next-big-breakthrough-in-ai-will-be-around-language a subject, write an essay, run a calculation, generate some Python code, or simply have a conversation. 3. Accenture Tech Vision 2023 Generative AI is the umbrella term for the ground-breaking form of creative 4. ChatGPT Is Coming to a Customer Service Chatbot Near You, Forbes, January 2023 artificial intelligence that can produce original content on demand. Rather https://www.forbes.com/sites/rashishrivastava/2023/01/09/chatgpt-is-coming-to-a-customer-service-chatbot-near- than simply analyzing or classifying existing data, generative AI is able to you/?sh=730eeab97eca create something entirely new, whether text, images, audio, synthetic data, or more. 5. How AI Transforms Social Media, Forbes, March 2023 Foundation models are complex machine learning systems trained on vast https://www.forbes.com/sites/forbestechcouncil/2023/03/16/how-ai-transforms-social-media/?sh=739221ca1f30 quantities of data (text, images, audio, or a mix of data types) on a massive 6. Large AI Models have Real Security Benefits, Dark Reading, August, 2022 scale. The power of these systems lies not only in their size but also in the fact https://www.darkreading.com/dr-tech/large-language-ai-models-have-real-security-benefits they can quickly be adapted or fine-tuned for a wide range of downstream tasks. Examples of foundation models include BERT, DALL-E, and GPT-4. 7. OPWNAI: Cybercriminals starting to use ChatGPT, Checkpoint Research, January, 2023 Large Language Models (LLMs) represent a subset of foundation models https://research.checkpoint.com/2023/opwnai-cybercriminals-starting-to-use-chatgpt/ that are trained specifically on text sources. GPT-3, for instance, was trained 8. Accenture Technology Vision 2023 14 on almost 500 billion words from millions of websites. Its successor, GPT-4, can take image as well as text as inputs. 9. CXO Pulse Survey, conducted by Accenture Research, February 2023 Fine-tuning is the process by which foundation models are adapted for 10. Accenture Technology Vision 2023 specific downstream tasks using a particular dataset. That can include everything from the hyper-specific (training a model to compose emails 11. The Productivity J-Curve: How Intangibles Complement General Purpose Technologies - American Economic Association (aeaweb.org) based on your personal writing style) to the enterprise level (training an LLM on enterprise data to transform a company’s ability to access and analyze its 12. Uniting technology and sustainability, Accenture, May, 2022 core intelligence). Technology Sustainability Key to ESG Goals | Accenture Data is the fundamental bedrock of generative AI. Not only in training 13. Pace Of Artificial Intelligence Investments Slows, But AI Is Still Hotter Than Ever, Forbes, October, 2022 foundation models themselves, but also in fine-tuning those models to https://www.forbes.com//sites/joemckendrick/2022/10/15/pace-of-artificial-intelligence-investments-slows-but-ai-is-still-hotter-than- perform specific tasks. In an enterprise context, examples might include ever/?sh=853d8124c76c everything from legacy code to real-time operational data to customer insights. 14. OpenAI’s GPT-3 Language Model: A Technical Overview, Lambda, June, 2020 https://lambdalabs.com/blog/demystifying-gpt-3 A new era of generative AI for everyone | 21