Prompt 1:Large language learning models are systems that are sort of based off of neural networks resembling the human brain. They are trained on vast amounts of data (texts) so that it can become better at predicting/generating responses that fit the criteria given to it by a user. AI tools such as Chat GPT is a great example of a LLM. It has been fed a huge amount of data from the internet so it can generate responses based on what it has learned.
Prompt 2:
Generative AI's focus is on creating new content for a user based on inputs, while Predicitve AI works off of what it has been taught and uses algorithims to predict what would come next.
I usually think of predicitive AI like a chat window you might use for customer service. This uses what you type in to predict what you might be looking for for help.
Chat GPT is a good example of generative AI. It has the ability to create "new" work based on what it has learned and what you might be asking for. The example from the video uses Shakespeare as an inspiration and GPT can ceate a new piece that uses his work as a model so that it can match his style.
Prompt 2:
Generative AI's focus is on creating new content for a user based on inputs, while Predicitve AI works off of what it has been taught and uses algorithims to predict what would come next.
I usually think of predicitive AI like a chat window you might use for customer service. This uses what you type in to predict what you might be looking for for help.
Chat GPT is a good example of generative AI. It has the ability to create "new" work based on what it has learned and what you might be asking for. The example from the video uses Shakespeare as an inspiration and GPT can ceate a new piece that uses his work as a model so that it can match his style.