Topic: instruction-following Goto Github
Some thing interesting about instruction-following
Some thing interesting about instruction-following
instruction-following,Finetune LLaMA-7B with Chinese instruction datasets
User: a-baoyang
instruction-following,Collect and maintain high quality instruction finetune datasets in different domain and languages. 搜集並維護高品質各專業領域及語言的指令微調資料集
User: a-baoyang
Home Page: https://huggingface.co/DataAgent
instruction-following,:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
User: bradyfu
instruction-following,🌱 梦想家(DreamerGPT):中文大语言模型指令精调
User: dreamergpt
instruction-following,Code for the Paper "Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics"
User: frankroeder
instruction-following,An benchmark for evaluating the capabilities of large vision-language models (LVLMs)
Organization: fudandisc
instruction-following,Code and models of MOCA (Modular Object-Centric Approach) proposed in "Factorizing Perception and Policy for Interactive Instruction Following" (ICCV 2021). We address the task of long horizon instruction following with a modular architecture that decouples a task into visual perception and action policy prediction.
Organization: gistvision
instruction-following,A collection of ChatGPT and GPT-3.5 instruction-based prompts for generating and classifying text.
User: kevinamiri
Home Page: https://prompts.maila.ai/
instruction-following,Instruction Following Agents with Multimodal Transforemrs
User: lhao499
instruction-following,A better Alpaca Model Trained with Less Data (only 9k instructions of the original set)
User: lichang-chen
Home Page: https://lichang-chen.github.io/AlpaGasus/
instruction-following,This is the official repo for Contrastive Vision-Language Alignment Makes Efficient Instruction Learner.
User: lizhaoliu-lec
instruction-following,The home of Stambecco 🦌: Italian Instruction-following LLaMA Model
User: mchl-labs
instruction-following,An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Organization: optimalscale
Home Page: https://optimalscale.github.io/LMFlow/
instruction-following,[NeurIPS'23] "MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing".
Organization: osu-nlp-group
Home Page: https://osu-nlp-group.github.io/MagicBrush/
instruction-following,WangChanGLM 🐘 - The Multilingual Instruction-Following Model
Organization: pythainlp
instruction-following,The repo collects model and data projects for instruction following large language models.
User: reason-wang
instruction-following,Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
User: sinclaircoder
instruction-following,Awesome Instruction Editing. Image and Media Editing with Human Instructions. Instruction-Guided Image and Media Editing.
User: tamlhp
instruction-following,An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
Organization: tatsu-lab
Home Page: https://tatsu-lab.github.io/alpaca_eval/
instruction-following,A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
Organization: tatsu-lab
Home Page: https://arxiv.org/abs/2305.14387
instruction-following,Code and documentation to train Stanford's Alpaca models, and generate the data.
Organization: tatsu-lab
Home Page: https://crfm.stanford.edu/2023/03/13/alpaca.html
instruction-following,This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & Vertical Distillation of LLMs.
User: tebmer
instruction-following,PhoGPT: Generative Pre-training for Vietnamese (2023)
Organization: vinairesearch
instruction-following,A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)
User: yaodongc
instruction-following,Code for "FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models"
User: yjiangcm
Home Page: https://arxiv.org/abs/2310.20410
instruction-following,Code for "Lion: Adversarial Distillation of Proprietary Large Language Models (EMNLP 2023)"
User: yjiangcm
Home Page: https://arxiv.org/abs/2305.12870
instruction-following,Awesome Multimodal Assistant is a curated list of multimodal chatbots/conversational assistants that utilize various modes of interaction, such as text, speech, images, and videos, to provide a seamless and versatile user experience.
User: zjr2000
instruction-following,An Open-sourced Knowledgable Large Language Model Framework.
Organization: zjunlp
Home Page: http://knowlm.zjukg.cn/
instruction-following,Must-read Papers on LLM Agents.
Organization: zjunlp
instruction-following,[ICLR 2024] Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
Organization: zjunlp
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