Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
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Nov 5, 2024 - Python
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rlaif
Here are 7 public repositories matching this topic...
ZYN: Zero-Shot Reward Models with Yes-No Questions
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Aug 15, 2023 - Python
code for paper Query-Dependent Prompt Evaluation and Optimization with Offline Inverse Reinforcement Learning
inverse-reinforcement-learning
irl
offline-rl
large-language-models
llm
prompt-engineering
rlhf
rlaif
offline-irl
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Mar 20, 2024 - Python
Timo: Towards Better Temporal Reasoning for Language Models (COLM 2024)
temporal-reasoning
sota-model
llms
rlhf
rlaif
llm-as-a-judge
llm-as-evaluator
self-critic-framework
colm2024
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Oct 23, 2024 - Python
distilled Self-Critique refines the outputs of a LLM with only synthetic data
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Apr 11, 2024 - Jupyter Notebook
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