Code for the Paper "Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics"
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Updated
Jun 30, 2022 - Python
Code for the Paper "Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics"
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
🌱 梦想家(DreamerGPT):中文大语言模型指令精调
Is In-Context Learning Sufficient for Instruction Following in LLMs?
Instruction Following Agents with Multimodal Transforemrs
An benchmark for evaluating the capabilities of large vision-language models (LVLMs)
EditWorld: Simulating World Dynamics for Instruction-Following Image Editing
Code for "FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models (ACL 2024)"
[NeurIPS'23] "MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing".
[ICLR 2024] Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
Finetune LLaMA-7B with Chinese instruction datasets
Code for "Lion: Adversarial Distillation of Proprietary Large Language Models (EMNLP 2023)"
A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
PhoGPT: Generative Pre-training for Vietnamese (2023)
An Open-sourced Knowledgable Large Language Model Framework.
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Code and documentation to train Stanford's Alpaca models, and generate the data.
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