tatsu-lab / alpaca_farm
A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
☆782Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for alpaca_farm
- Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"☆1,625Updated last year
- [NIPS2023] RRHF & Wombat☆798Updated last year
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆756Updated last year
- Multi-agent Social Simulation + Efficient, Effective, and Stable alternative of RLHF. Code for the paper "Training Socially Aligned Langu…☆344Updated last year
- [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…☆886Updated last month
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆528Updated 8 months ago
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆427Updated 4 months ago
- ☆1,274Updated this week
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆745Updated this week
- RewardBench: the first evaluation tool for reward models.☆436Updated 3 weeks ago
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.☆541Updated last year
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,531Updated last week
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆597Updated 4 months ago
- A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.☆317Updated last year
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆469Updated last month
- Official repository for LongChat and LongEval☆512Updated 5 months ago
- ☆708Updated 5 months ago
- A large-scale, fine-grained, diverse preference dataset (and models).☆315Updated 10 months ago
- Aligning Large Language Models with Human: A Survey☆700Updated last year
- ☆259Updated last year
- Chain-of-Hindsight, A Scalable RLHF Method☆220Updated last year
- Mass-editing thousands of facts into a transformer memory (ICLR 2023)☆438Updated 9 months ago
- A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)☆1,080Updated 10 months ago
- Expanding natural instructions☆960Updated 11 months ago
- This repository contains a collection of papers and resources on Reasoning in Large Language Models.☆543Updated last year
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆306Updated 10 months ago
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆318Updated 10 months ago
- A framework for the evaluation of autoregressive code generation language models.☆823Updated 3 weeks ago
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,079Updated 8 months ago
- Code for fine-tuning Platypus fam LLMs using LoRA☆623Updated 9 months ago