🤖Generative AI combines AI and generative techniques to create new content.
📚Generative AI has been around for a while and has applications in various fields.
🌐Language modeling is a key component of generative AI.
💡Generative AI can be used for tasks like translation, completion, and content generation.
🔮The future of generative AI holds potential for even more advanced applications.
What is generative artificial intelligence?
—Generative artificial intelligence combines artificial intelligence and generative techniques to create new content that has not necessarily been seen before.
How long has generative AI been around?
—Generative AI has been around for a while, with examples like Google Translate and Siri dating back several years.
What are the applications of generative AI?
—Generative AI can be used for tasks like translation, text completion, and content generation in various fields.
What is language modeling?
—Language modeling is a key component of generative AI, where a model predicts the most likely next word or sequence of words based on the context.
What does the future hold for generative AI?
—The future of generative AI holds potential for even more advanced applications in fields like art, music, and storytelling.
00:00Introduction and background on generative artificial intelligence.
05:07History and examples of generative AI, including Google Translate and Siri.
09:45Language modeling as a key component of generative AI.
11:10Building a language model using a large corpus of data.
14:46Explanation of the neural network language model and its prediction process.
15:16Insights into generative AI and its potential applications.
