Welcome to the Large Language Models Showcase! This repository is a curated collection of interesting applications, use cases, Github repos and tutorials that use state-of-the-art language models, such as GPT-3 and other large language models. Whether you're a language enthusiast, a machine learning researcher, or just someone interested in the capabilities of AI, this repository is the perfect place to explore the world of natural language processing and see what these powerful models are capable of.
In this repository, you'll find a variety of examples and demonstrations of language models being used for text generation, search, question answering and more. You'll also find tutorials and resources for building your own applications, as well as links to other repositories and resources for further learning.
Building applications with LLMs through composability
Allows to scale the ChatGPT API to multiple simultaneous sessions with infinite contextual and adaptive memory powered by GPT and Redis datastore.
This is a collection of prompt examples to be used with the ChatGPT model.
JARVIS, a system to connect LLMs with ML community
a batteries-included library for building AI-powered software. Marvin's job is to integrate AI directly into your codebase by making it look and feel like any other function.
LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data.
Generation of Ontologies and Knowledge Bases using GPT.A knowledge extraction tool that uses a large language model to extract semantic information from text
Building a chatbot has become a hot skill, and with the release of ChatGPT we see a huge number of chat applications being released.
Efficient Large Language Model training with LoRA and Hugging Face
ChatDoctor: A Medical Chat Model Fine-tuned on LLaMA Model using Medical Domain Knowledge
Demo, data, and code to train an assistant-style large language model with ~800k GPT-3.5-Turbo Generations based on LLaMa
This repository contains the experimental code to reproduce the results in Dataless Knowledge Fusion by Merging Weights of Language Models, a paper to be published during the Eleventh International Conference on Learning Representations (ICLR 2023), to be held May 1-5, 2023 in Kigali, Rwanda.
Guides, papers, lecture, notebooks and resources for prompt engineering
This is a half-baked prototype that “helps” you extract structured data from text using large language models (LLMs)
A method to fix GPT-3 after deployment with user feedback, without re-training.
This article focuses more on how ChatGPT works at a conceptual level and how it compares to knowledge graphs.
Use the new GPT-4 api to build a chatGPT chatbot for multiple Large PDF files.
This repo is to help you build a powerful question answering system that can accurately answer questions by combining Langchain and large language models (LLMs) including OpenAI's GPT3 models.
ColossalChat is the project to implement LLM with RLHF, powered by the Colossal-AI project.Coati stands for ColossalAI Talking Intelligence. It is the name for the module implemented in this project and is also the name of the large language model developed by the ColossalChat project.
OpenAI-powered semantic search for any YouTube playlist – featuring the All-In Podcast.
Sketch is an AI code-writing assistant for pandas users that understands the context of your data, greatly improving the relevance of suggestions. Sketch is usable in seconds and doesn't require adding a plugin to your IDE.
We introduce Vicuna-13B, an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. Preliminary evaluation using GPT-4 as a judge shows Vicuna-13B achieves more than 90%* quality of OpenAI ChatGPT and Google Bard while outperforming other models like LLaMA and Stanford Alpaca in more than 90%* of cases.
Introducing the Agent to the Haystack ecosystem. The implementation of Agents is inspired by two papers: the MRKL Systems paper (pronounced ‘miracle’ 😉) and the ReAct paper. If you like reading papers, I highly recommend these two. Here, I’ll explain how we’re introducing this functionality to Haystack.
An open platform for training, serving, and evaluating large language model based chatbots.
LMQL is a programming language for language model interaction.
Template for building your own custom ChatGPT style doc search powered by Next.js, OpenAI, and Supabase.
Simple Python bindings for llama.cpp library.
Models such as ChatGPT, GPT-4, and Claude are powerful language models that have been fine-tuned using a method called Reinforcement Learning from Human Feedback (RLHF) to be better aligned with how we expect them to behave and would like to use them.
AI code writing assistant for data scientists, engineers, and analysts.Get code completions and suggestions as you type.
A Visual Studio Code - ChatGPT Integration
Contributions to this repository are welcome and encouraged! If you have any interesting applications or tutorials that use language models, please feel free to submit a pull request. Let's showcase the power of AI language models together!
This repository is licensed under the MIT License.