flan-t5

Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.

This repository contains code for extending the Stanford Alpaca synthetic instruction tuning to existing instruction-tuned models such as Flan-T5.

Build a Large Language Model (From Scratch) book and Finetuned Models

LLMs4OL:‌ Large Language Models for Ontology Learning

[ACL 2024 Findings] Code implementation of Paper "Rethinking Negative Instances for Generative Named Entity Recognition"

This repository contains the code to train flan t5 with alpaca instructions and low rank adaptation.

Empower your LLM to do more than you ever thought possible with these state-of-the-art prompt templates.

In this implementation, using the Flan T5 large language model, we performed the Text Classification task on the IMDB dataset and obtained a very good accuracy of 93%.

The official fork of THoR Chain-of-Thought framework, enhanced and adapted for Emotion Cause Analysis (ECAC-2024)