Corpus2GPT

Corpus2GPT revolutionizes language model research with its unique approach, offering a user-friendly platform that prioritizes accessibility and ease of use. Unlike other existing tools with complex and cumbersome codebases, Corpus2GPT stands out for its modular design, making it effortless to navigate, modify, and understand. Backed by comprehensive documentation and support for various language corpora, backends, and extension solutions, it caters to a wide range of users—from seasoned researchers to industry professionals and enthusiasts. Experience the future of language model exploration with Corpus2GPT—where simplicity meets innovation. Corpus2GPT is a groundbreaking project designed to empower users to train their own GPT models using diverse datasets, including those in local languages and various corpus types. Compatible with Keras and seamlessly supporting TensorFlow, PyTorch, or JAX backends, it is one of the first tools in the field to offer this trifecta of backend options, providing users with benchmarking capabilities and flexibility. Beyond its initial functionalities, Corpus2GPT aspires to evolve into a comprehensive hub for language model tools, incorporating features like RAG (Retrieval-Augmented Generation) and MoEs (Mixture of Experts). Committed to staying at the forefront of LLM (Large Language Model) advancements, Corpus2GPT aims to be the go-to suite for both beginners and experienced practitioners, offering accessible presets and modules for building tailored language models. **Current Features:** - **Classic Multi-Head Attention:** Corpus2GPT currently supports the classic multi-head attention mechanism, a key component of the transformer architecture that helps capture dependencies at different positions in the input sequence. - **Decoder:** The tool includes a decoder module, essential for generating output sequences in GPT-like models. - **Random Sampling Search Strategy:** Corpus2GPT implements a random sampling search strategy, enabling users to generate diverse outputs during model inference. - **Multilingual Support:** With built-in support for multiple languages, Corpus2GPT facilitates the training of language models on diverse linguistic datasets, promoting inclusivity and accessibility. - **Sentence Piece Tokenizer (and Vectorizer):** Leveraging sentence piece tokenization and vectorization, Corpus2GPT provides efficient tokenization and vectorization of input data, crucial for preprocessing text data across various languages and domains. - **GPT Builder:** Corpus2GPT offers a streamlined interface for building GPT models, simplifying the process of configuring and training custom language models. - **Distributed Training Utilities:** Tools for easy distributed learning with JAX and TensorFlow backends (including support for CPUs, GPUs, and TPUs).

Corpus2GPT is a platform that empowers users to train their own GPT models using diverse datasets, including local languages. It offers a user-friendly interface and modular design to simplify language model research and development.