This Python script creates a password-protected ZIP file using the pyzipper library. It allows you to specify the files to include in the ZIP and set a password for encryption. The resulting ZIP file requires the provided password to access its contents, providing an additional layer of security.
Encoders and Decoders
In Transformer models, these are distinct components. The encoder processes the input text, converting it into numerical values known as embeddings. The decoder then uses these embeddings to generate output text.
Decoding Strategies
Greedy Decoding - Picks the most likely next word at each step. Efficient but can lead to suboptimal sequences.
Beam Search - Tracks a number of possible sequences (beam width) to find a better sequence of words. It balances between the best local and overall choices.
Top-K Sampling - Randomly picks the next word from the top K most likely candidates, introducing randomness and diversity.
Top-P (Nucleus) Sampling: Chooses words from a set whose cumulative probability exceeds a threshold, focusing on high-probability options.
https://youtu.be/2IK-YDb0pFs
Encoders and Decoders In Transformer models, these are distinct components. The encoder processes the input text, converting it into numerical values known as embeddings. The decoder then uses these embeddings to generate output text.
Decoding Strategies
Greedy Decoding - Picks the most likely next word at each step. Efficient but can lead to suboptimal sequences. Beam Search - Tracks a number of possible sequences (beam width) to find a better sequence of words. It balances between the best local and overall choices. Top-K Sampling - Randomly picks the next word from the top K most likely candidates, introducing randomness and diversity. Top-P (Nucleus) Sampling: Chooses words from a set whose cumulative probability exceeds a threshold, focusing on high-probability options.