nlp

Easy to use Multi-Provider ASR/Speech To Text and NLP engine

Pretraining and Finetuning Language Model

CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language Model

A comprehensive, professional guide explaining the differences, strengths, and best practices of Retrieval-Augmented Generation (RAG) and Fine-Tuning for LLMs, including workflows, comparisons, decision frameworks, and real-world hybrid AI use cases.

Detecting Fake News using AI

LLM-free, layout-aware PDF chunking for RAG pipelines. Preserves document structure via regex and font heuristics. Written in pure Rust.

This repository is now archived. Further development has been moved to https://github.com/medkit-lib/medkit.

[ACL 2023] The code for our ACL'23 paper Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach

MinimalGPT is a concise, adaptable, and streamlined code framework that encompasses the essential components necessary for the construction, training, inference, and fine-tuning of the GPT model. This framework is implemented exclusively using Keras and TensorFlow, ensuring compatibility and coherence within the broader deep learning ecosystem.

A structured knowledge base for large language model technologies, covering LLMs, Agents, RAG, model training, evaluation methodologies, and AI engineering practices.

This repository contains code for fine-tuning the Whisper speech-to-text model.

Content based recommender system for books using NLP.

Build a Large Language Model From Scratch

Local CLI for Google's TranslateGemma translation models with multi-platform support (MLX for Apple Silicon, PyTorch for CUDA/CPU).

Text simplification for a better world: Deep-Martin Transformer 🤗

Exploring NLP weak supervision approaches to train text classification models. The project is also a prototype for a semi-automated text data labelling platform. Approaches: Snorkel and Zero-Shot Learning.

Generate fake restaurant reviews with GPT-2 using Yelp Dataset

Ejercicios para aprender a hacer NLP impulsado por las librerías de Hugging Face.

自己阅读的多模态对话系统论文（及部分笔记）汇总

Flan-t5-base model was fine-tuned on Nvidia Question and Answer Pair Dataset available on Kaggle. This is a beginner level project who wants to step in to the world of Large Language Models.