In the field of deep learning, loss functions and the backpropagation algorithm play a crucial role in training neural n

Choosing an appropriate batch size in deep learning, including models like Transformer, requires careful consideration a

If want to find a a non linear relationship between two arrays, and it’s hard to model it using simple functions such as

In Python’s multiprocessing module, the start() and join() methods are used to control the execution of a Process object

In Python, parallelism is a technique that allows programs to execute multiple tasks concurrently, thereby improving the

Wonder what’s the difference between RLHF method with finetuning method? Fine-Tuning is actually the first step of a RL

Deep learning is widely used for various regression analysis tasks. However, sometimes we need to apply certain constrai

The latest update (June 2023) from OpenAI added a new role called function into their tool box.By describing functions i

Large language models (LLMs) have revolutionized the field of artificial intelligence, and their long-lasting impact is

In NumPy, the default float data type is float64, also known as double precision. In PyTorch, the default float data typ

In pytorch, when we want to provide a 2-dimensional input with shape (batch_size, embedding_size), we should be careful

Normalizing input data is generally a good practice, as it can improve the convergence rate and the overall performance