ChatGPT (4o mini)
Code
Vanilla Python with/without NumPy
- Q: generate a perceptron in plain vanilla python code with numpy
- note - generates a single-layer perceptron training on logicial xor, see Q: explain if you can train with success a single-layer perceptron on logical xor
- Q: generate a perceptron in plain vanilla python code with numpy and train on logical or
With PyTorch
- Q: generate a perceptron in python code with pytorch
- note - generates a single-layer perceptron training on logicial xor, see Q: explain if you can train with success a single-layer perceptron on logical xor
- Q: generate a perceptron in python code with pytorch and train on logical or
Theory
- Q: what is a single-layer perceptron?
- Q: explain if you can train with success a single-layer perceptron on logical xor
- Q: what is the best multi-layer perceptron configuration to train with success a perceptron on logical xor
- note - includes running sample code in python with pytorch!
- Q: what's the difference between gpt and bert neural networks?
- Q: can you explain the word2vec neural network model?
- Q: what are some options for positional encoding of word embeddings?
- Q: what are the pro and cons of byte pair encoding tokenizers compared to alternatives?
- Q: can you explain transformers with attention mechanisms?
- Q: what differences are there in the neural network layers of gpt 2 and llama 3?
- Q: what are the memory requirements for gpt-2?
- Q: how is the gpt-3 neural network architecture different from gpt-2?
- Q: can large language model think?
History
- Q: timeline of a.i. research
- Q: timeline of a.i. research in neural networks
- Q: timeline of a.i. research in neural networks with transformers and attention
- Q: timeline of decoder-only transformer neural network models
that's all for today. thank you.
You're very welcome! I'm glad I could help. If you have more questions in the future, don't hesitate to reach out. Have a great day!