ArmelRandy / tree-of-problems
[EMNLP 2024] Tree of Problems: Improving structured problem solving with compositionality
☆19Updated 4 months ago
Alternatives and similar repositories for tree-of-problems:
Users that are interested in tree-of-problems are comparing it to the libraries listed below
- A public implementation of the ReLoRA pretraining method, built on Lightning-AI's Pytorch Lightning suite.☆33Updated 11 months ago
- Exploration using DSPy to optimize modules to maximize performance on the OpenToM dataset☆14Updated 11 months ago
- ☆22Updated 2 weeks ago
- Using multiple LLMs for ensemble Forecasting☆16Updated last year
- ☆60Updated last week
- The Benefits of a Concise Chain of Thought on Problem Solving in Large Language Models☆21Updated 2 months ago
- This library supports evaluating disparities in generated image quality, diversity, and consistency between geographic regions.☆20Updated 8 months ago
- alternative way to calculating self attention☆18Updated 8 months ago
- BH hackathon☆14Updated 10 months ago
- Very minimal (and stateless) agent framework☆41Updated last month
- Latent Large Language Models☆17Updated 5 months ago
- Official homepage for "Self-Harmonized Chain of Thought" (NAACL 2025)☆89Updated 3 weeks ago
- ☆45Updated 4 months ago
- Example code using the DSPy framework.☆18Updated 8 months ago
- ☆41Updated 2 months ago
- Binary vector search example using Unum's USearch engine and pre-computed Wikipedia embeddings from Co:here and MixedBread☆18Updated 10 months ago
- AI_Powered_Dev_Search_Engine☆12Updated 11 months ago
- ☆48Updated 3 months ago
- Streamlit app for recommending eval functions using prompt diffs☆27Updated last year
- ☆19Updated 3 months ago
- GPT-4 Level Conversational QA Trained In a Few Hours☆58Updated 6 months ago
- Tools for formatting large language model prompts.☆12Updated last year
- Aioli: A unified optimization framework for language model data mixing☆20Updated last month
- ☆20Updated last year
- Chrome Extension for YouTube. Acts as an assistant for the YouTube video you are watching☆23Updated last year
- Unleash the full potential of exascale LLMs on consumer-class GPUs, proven by extensive benchmarks, with no long-term adjustments and min…☆25Updated 3 months ago