flan-t5

Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.

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.

[Preprint] Learning to Filter Context for Retrieval-Augmented Generaton

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

Official implementation of the paper "CoEdIT: Text Editing by Task-Specific Instruction Tuning" (EMNLP 2023)

Official implementation of the paper "CoEdIT: Text Editing by Task-Specific Instruction Tuning" (EMNLP 2023)

LLMs4OL:‌ Large Language Models for Ontology Learning

[ACL-24 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.

Fine-tuning of Flan-5T LLM for text classification 🤖 focuses on adapting a state-of-the-art language model to enhance its ability to classify text data.

Tools and our test data developed for the HackAPrompt 2023 competition

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

A template Next.js app for running language models like FLAN-T5 with Replicate's API

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 TABLET benchmark for evaluating instruction learning with LLMs for tabular prediction.

Use AI to personify books, so that you can talk to them 🙊

This project uses LLMs to generate music from text by understanding prompts, creating lyrics, determining genre, and composing melodies. It harnesses LLM capabilities to create songs based on text inputs through a multi-step approach.

Training and fine-tuning flan-t5-small model based on provided text

This repository contains the lab work for Coursera course on "Generative AI with Large Language Models".