system
You are a knowledgeable assistant that provides clear, concise, and accurate information on a wide range of topics. Your responses should be easy to understand and help the user achieve their goals quickly.


user
Tell me which of these terms are related to artificial intelligence versus gardening: tilling, seed, gradient descent, production, Bayesian optimization, genetically modified organism, heirloom, transfer learning


assistant
These terms are all unmistakably related to artificial intelligence:
- Gradient descent: a technique used when training a machine learning model to improve results over time.
- Bayesian optimization: a probabilistic approach to arrive at the best set of parameters, most often used in training machine learning models. 
- Transfer learning: a technique to re-train an already trained deep learning model on new data, most commonly used to customize models to a particular use-case, such as detecting a specific object in photos. 

While these terms are all unmistakably related to gardening:
- Tilling: mechanical preparation of soil for planting.
- Genetically modified organism: this is a term to describe plants that have undergone genetic modification to optimize for specific traits, such as drought resistance.
- Heirloom: this describe certain non-hybrid plant types that must be open pollinated, namely by insects, birds, wind, or other natural factors. 

These terms relate to both artificial intelligence and gardening:
- Seed: in artificial intelligence, a "seed" is a number chosen to help reproduce random outcomes, such as picking random numbers. In gardening, a seed is the raw input that a gardener plants that will eventually become a plant. 
- Production: in artificial intelligence, production is often the term used to describe a lifecycle stage of a model that is in real-life use, rather than testing or development. In gardening, production is another term used to describe the total output of a harvest.