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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Sep 7, 2026 - Python
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rlaif
Here are 35 public repositories matching this topic...
Official Implementation of VideoDPO
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Jun 1, 2025 - Python
GAN-style self-improvement loop for any text artifact: mutate, grade with a SEPARATE model, keep only verified wins (pairwise-judged), revert the rest. The git history is the improvement log.
python rust evaluation text-generation gemini gan developer-tools self-improvement ai-agents llm prompt-engineering generative-ai rlaif
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Aug 3, 2026 - Python
Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models (ICML 2025)
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Dec 26, 2025 - 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
Policy Learning from Large Vision-Language Model Feedback Without Reward Modeling (IROS 2025)
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Dec 26, 2025 - Python
ZYN: Zero-Shot Reward Models with Yes-No Questions
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Aug 15, 2023 - Python
Synthetic data for fine tuning LLM
python ai evaluation synthetic-data finetuning dpo huggingface synthetic-data-generation llm rlhf rlaif llm-evaluation ai-feedback
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Dec 26, 2024 - Python
Code and data for "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
Experimental language-model engine combining bidirectional masked diffusion with neuromorphic SNN dynamics, built in Julia with Python tooling.
machine-learning julia spiking-neural-networks language-model neuromorphic-computing diffusion-models rlaif
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Sep 2, 2026 - Julia
Data Preparation for Large Language Models — a curated companion to our JCST 2026 survey. Covers Pre-training, Continual Pre-training, and Post-training (SFT/RLHF/RLAIF) across collection, filtering, dedup, generation, evaluation.
nlp awesome deep-learning survey awesome-list data-preparation sft pretraining data-centric-ai large-language-models llm rlhf instruction-tuning rlaif continual-pretraining
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Apr 28, 2026 - Shell
RewardAnything: Generalizable Principle-Following Reward Models
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Jul 15, 2025 - HTML
Production-ready RLAIF trading system with multi-agent Claude AI that learns from market outcomes. Features 60+ indicators, foundation models, and serverless deployment.
python machine-learning reinforcement-learning serverless pytorch quantitative-finance technical-analysis algorithmic-trading multi-agent-systems time-series-forecasting faiss fastapi alpaca-api foundation-models runpod langchain financial-ai anthropic rlaif fiancial-machine-learning
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Apr 14, 2026 - Python
Code for the paper "Improving Socratic Question Generation using Data Augmentation and Preference Optimization"
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May 7, 2024 - Python
Your RL second brain: 34 source-cited topics from Q-learning to GRPO and agentic RL, kept fresh monthly. Obsidian vault + AI agent layer, Brainstein SSS+.
machine-learning reinforcement-learning deep-reinforcement-learning knowledge-base obsidian ppo dpo second-brain obsidian-vault rlhf rlaif grpo llm-post-training
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Jul 22, 2026 - Python
RankPO: Rank Preference Optimization
information-retrieval dpo large-language-models llm rlhf rlaif reinforcement-learning-human-feedback direct-preference-optimization
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Mar 17, 2025 - Python
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