BPE tokenizer used for Dart/Flutter applications when calling ChatGPT APIs
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Updated
Feb 7, 2024 - Dart
BPE tokenizer used for Dart/Flutter applications when calling ChatGPT APIs
Count tokens in a text file.
A Visualizer to check how BPE Tokenizer in an LLM Works
Train and perform NLP tasks on the wikitext-103 dataset in Rust
Self-containing notebooks to play simply with some particular concepts in Deep Learning
Successfully developed a text classification model to predict whether a given news text is fake or not by fine-tuning a pretrained BERT transformed model imported from Hugging Face.
Byte-Pair Algorithm implementation (Karpathy version of Rust)
Tokenization is a way of separating a piece of text into smaller units called tokens. Here, tokens can be either words, characters, or subwords. Hence, tokenization can be broadly classified into 3 types – word, character, and subword (n-gram characters) tokenization.
Implemented a tokenizer class , some language models techniques and based on those models generating next words.
Assignments of the course CSE 556 - Natural Language Processing
This is my simple and readable implementation of the Byte Pair Encoding Algorithm and a Bigram Model.
implementation of BPE algorithm and training of the tokens generated
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