Foundation Models - ANSWERS- large-scale language model pretrained on vast quantity of unlabeled
data
- reusable AI model that serves as the building blocks or starting points for various natural language
processing tasks
- can be used for a variety of different tasks, with minimal fine-tuning, even if it wasn't specifically
trained on that
- can be the foundation for many applications of the AI model
Labeled data - ANSWERS- the data for which you know the outcome that you are trying to predict
- used in supervised learning
- used as a training set for the model
- requires manual work by humans, can be time-consuming
- essential for training and evaluating machine learning models accurately
Large Language Models - ANSWERS- AI model that has been trained on massive amount of text data
- used to understand and generate human like language
- Use deep learning techniques to capture intricate patterns and relationships in language
- Unsupervised learning
- Predicts the next word or phrase based on surrounding words
- Pretrained on books, articles, websites and more
- Excels at responding to prompts, completing sentences, language translation, summarizing text,
answering questions
Deep Learning - ANSWERS- A type of machine learning that uses multiple layers of interconnections
among data to identify patterns and improve predicted results.
- Uses neural networks
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