jinjukiko

jinjukiko's Stars

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python168k1.5k2.8k44.4k

• GaiZhenbiao/ChuanhuChatGPT

  GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.

  Language:Python15.2k847942.3k

• meta-llama/llama-recipes

  Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.

  Language:Jupyter Notebook15k1923712.2k

• xcanwin/KeepChatGPT

  这是一款提高ChatGPT的数据安全能力和效率的插件。并且免费共享大量创新功能，如：自动刷新、保持活跃、数据安全、取消审计、克隆对话、言无不尽、净化页面、展示大屏、拦截跟踪、日新月异、明察秋毫等。让我们的AI体验无比安全、顺畅、丝滑、高效、简洁。

  Language:JavaScript14.6k46419728

• NVIDIA/Megatron-LM

  Ongoing research training transformer models at scale

  Language:Python10.5k1627712.3k

• thunlp/OpenPrompt

  An Open-Source Framework for Prompt-Learning.

  Language:Python4.4k44257454

• kyegomez/tree-of-thoughts

  Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

  Language:Python4.3k5267362

• NVIDIA/NeMo-Guardrails

  NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

  Language:Python4.2k36366391

• thunlp/PromptPapers

  Must-read papers on prompt-based tuning for pre-trained language models.

  4.1k1185379

• amazon-science/mm-cot

  Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)

  Language:Python3.8k5654314

• YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy

  Diffusion model papers, survey, and taxonomy

  3k538248

• Timothyxxx/Chain-of-ThoughtsPapers

  A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

  2k503131

• microsoft/mup

  maximal update parametrization (µP)

  Language:Jupyter Notebook1.4k296295

• google-research/deduplicate-text-datasets

  Language:Rust1.1k1341112

• HillZhang1999/llm-hallucination-survey

  Reading list of hallucination in LLMs. Check out our new survey paper: "Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models"

  93711349

• sylinrl/TruthfulQA

  TruthfulQA: Measuring How Models Imitate Human Falsehoods

  Language:Jupyter Notebook61081070

• sunnweiwei/RankGPT

  Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]

  Language:Python52472148

• google-research/distilling-step-by-step

  Language:Python4276962

• RUCAIBox/StructGPT

  The code and data for "StructGPT: A general framework for Large Language Model to Reason on Structured Data"

  Language:Python3807028

• lancopku/label-words-are-anchors

  Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

  Language:Python15222813

• Sahandfer/PersonaPaper

  This is a repository for sharing papers in the field of persona-based conversational AI. The related source code for each paper is linked if available.

  14310211

• yangkevin2/naacl-2021-fudge-controlled-generation

  Language:JavaScript953616

• GXimingLu/Quark

  Language:Python74349

• SALT-NLP/positive-frames

  Data and code for the paper "Inducing Positive Perspectives with Text Reframing"

  Language:Python53339

• zhoucz97/awesome-ChatGPT

  ChatGPT相关资源汇总

  53106

• qhduan/mt5-soft-prompt-tuning

  Language:Jupyter Notebook442010

• r-three/RAD

  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model

  Language:Python41242

• HKUST-KnowComp/Knowledge-Constrained-Decoding

  Official Code for EMNLP2023 Main Conference paper: "KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection"

  Language:Python29141

• KaijuML/dtt-multi-branch

  Code for Controlling Hallucinations at Word Level in Data-to-Text Generation (C. Rebuffel, M. Roberti, L. Soulier, G. Scoutheeten, R. Cancelliere, P. Gallinari)

  Language:Python17172

• Ahren09/CODER

  Official implementation of “Code Recommendation for Open Source Software Developers" at The Web Conference 2023 (WWW 2023).

  Language:Python15511