instruction-following

12 Projekte teilen dieses GitHub-Topic

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stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

Must-read Papers on LLM Agents.

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and…

An Open-sourced Knowledgable Large Language Model Framework.

Awesome-Knowledge-Distillation-of-LLMs

This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break…

A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.

PhoGPT: Generative Pre-training for Vietnamese (2023)

Instruction-Tuning-Papers

Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and…

EVE Series: Encoder-Free Vision-Language Models from BAAI

[CVPR 2025] UniGoal: Towards Universal Zero-shot Goal-oriented Navigation

🔗 Verwandte Familien

language-model 113 in-context-learning 17 instruction-tuning 28 multimodal-large-language-models 36 survey 40 chain-of-thought 29 large-vision-language-models 11 multi-modality 8

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