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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.

[ICLR 2023] Code for the paper "Binding Language Models in Symbolic Languages"

Paper list of misinformation research using (multi-modal) large language models, i.e., (M)LLMs.

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

LLMs4OL:? Large Language Models for Ontology Learning

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

Rethinking Negative Instances for Generative Named Entity Recognition [ACL 2024 Findings]

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