Every internet user and business should prepare for the impact of a surge in powerful generative artificial intelligence (GenAI) applications. GenAI holds enormous promise and opportunities for discovery, efficiency, and driving corporate growth across many industries and disciplines. However, as with any strong new technology, it introduces new challenges to security and privacy.
Artificial Intelligence, Machine Learning, Large Language Models, and Diffusion Models have been in development and the focus of academic research for many years. Recent improvements in training data availability, computer power, GenAI capacity, and the release of solutions such as ChatGPT, ElevenLabs, Midjourney, along with their broader availability outside of what previously was a relatively isolated and specialized field, have led to its eruptive growth. These advances in artificial intelligence (AI) emphasize the importance of organizations developing plans to manage their engagement and use of AI within their organization.
- Artificial intelligence is a broad term that encompasses all fields of computer science that enable machines to accomplish tasks that would normally require human intelligence. Machine learning and generative AI are two subcategories of AI.
- Machine learning is a subset of AI that focuses on creating algorithms that can learn from data. Machine learning algorithms are trained on a set of data, and then they can use that data to make predictions or decisions about new data.
- Generative AI is a type of machine learning that focuses on creating new data. Often, GenAI relies on the use of large language models to perform the tasks needed to create the new data.
- A large language model (LLM) is a type of AI program that uses machine learning to perform natural language processing (NLP) tasks. LLMs are trained on large data sets to understand, summarize, generate, and predict new content.
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