kyegomez / EAOTLinks
The open source implementation of "Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers"
☆19Updated last year
Alternatives and similar repositories for EAOT
Users that are interested in EAOT are comparing it to the libraries listed below
Sorting:
- The code implementation of MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models…☆36Updated last year
- This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"☆17Updated last year
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆29Updated 3 weeks ago
- CodeUltraFeedback: aligning large language models to coding preferences☆71Updated last year
- Implementation of "LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models"☆40Updated 9 months ago
- ☆16Updated last year
- Codebase for Instruction Following without Instruction Tuning☆35Updated 10 months ago
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆57Updated last year
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆32Updated last year
- ☆31Updated last year
- Tree prompting: easy-to-use scikit-learn interface for improved prompting.☆39Updated last year
- The repository contains code for Adaptive Data Optimization☆25Updated 8 months ago
- A Data Source for Reasoning Embodied Agents☆19Updated last year
- A dataset of LLM-generated chain-of-thought steps annotated with mistake location.☆81Updated last year
- ☆65Updated last year
- Lottery Ticket Adaptation☆39Updated 8 months ago
- Script for processing OpenAI's PRM800K process supervision dataset into an Alpaca-style instruction-response format☆27Updated 2 years ago
- ☆46Updated last year
- Minimal implementation of the Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models paper (ArXiv 20232401.01335)☆29Updated last year
- Minimum Description Length probing for neural network representations☆18Updated 6 months ago
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆44Updated last year
- Q-Probe: A Lightweight Approach to Reward Maximization for Language Models☆41Updated last year
- ☆20Updated 9 months ago
- [NeurIPS 2023 Main Track] This is the repository for the paper titled "Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Lea…☆74Updated last year
- In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning☆35Updated 2 years ago
- ☆27Updated 2 years ago
- ☆25Updated last year
- Implementation of the paper: "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" from Google in pyTO…☆56Updated 2 weeks ago
- [ACL 2025] Are Your LLMs Capable of Stable Reasoning?☆29Updated last week