1.5 AI use cases and industries

Key points

1. Computer vision is AI that interprets images and video. NVIDIA notes computer vision can help spot diseases quickly in medical imaging. Modern neural networks and GPU computing have led to its adoption across industries including healthcare, retail, manufacturing, transportation and financial services.

   What NVIDIA says (2)

   “They can also help spot diseases quickly in medical imaging and save lives .”

   — What Is Computer Vision? (NVIDIA Glossary)

   “have led to widespread adoption across industries like transportation , retail , manufacturing , healthcare , and financial services .”

   — What Is Computer Vision? (NVIDIA Glossary)

2. NVIDIA defines a recommendation system as an AI algorithm, usually machine learning, that uses Big Data to suggest or recommend additional products to consumers. It learns preferences and past decisions from interaction data.

   What NVIDIA says (2)

   “A recommendation system is an artificial intelligence or AI algorithm, usually associated with machine learning , that uses Big Data to suggest or recommend additional products to consumers.”

   — What Is a Recommendation System? (NVIDIA Glossary)

   “Recommender systems are trained to understand the preferences, previous decisions, and characteristics of people and products using data gathered about their interactions.”

   — What Is a Recommendation System? (NVIDIA Glossary)

3. NVIDIA groups LLM text use cases into generation (such as marketing content), summarization (such as meeting notes), translation (including text-to-code), classification (such as sentiment analysis) and chatbots (such as virtual assistants).

   What NVIDIA says (1)

   “Broadly, LLM use cases for text-based content can be divided up in the following manner: Generation (e.g., story writing, marketing content creation) Summarization (e.g., legal paraphrasing, meeting notes summarization) Translation (e.g., between languages, text-to-code) Classification (e.g., toxicity classification, sentiment analysis) Chatbot (e.g., open-domain Q+A, virtual assistants)”

   — What are Large Language Models?

4. NVIDIA says companies are increasingly data-driven. They use analytics and machine learning to recognize complex patterns, detect changes and make predictions that directly impact the bottom line.

   What NVIDIA says (1)

   “Companies are increasingly data-driven–sensing market and environment data, and using analytics and machine learning to recognize complex patterns, detect changes, and make predictions that directly impact the bottom line.”

   — What is Machine Learning and Why Does It Matter?

Key terms

• Generative AI: AI models that learn patterns in existing data and use them to create new content such as text, images or code.
• Large language model: A very large neural network trained on huge text datasets that can generate human-like text.

Try it

• AI, ML & DL Foundations: simulator lab

Sample question

A hospital uses AI to help spot disease in medical scans. Which kind of AI workload is this?