DataCTE / Camel-Coder
Camel-Coder: Collaborative task completion with multiple agents. Role-based prompts, intervention mechanism, and thoughtful suggestions
☆33Updated last year
Alternatives and similar repositories for Camel-Coder:
Users that are interested in Camel-Coder are comparing it to the libraries listed below
- A set of utilities for running few-shot prompting experiments on large-language models☆118Updated last year
- Track the progress of LLM context utilisation☆54Updated last week
- Code for Arxiv 2023: Improving Language Model Negociation with Self-Play and In-Context Learning from AI Feedback☆206Updated last year
- Mixing Language Models with Self-Verification and Meta-Verification☆104Updated 4 months ago
- Code repo for "Agent Instructs Large Language Models to be General Zero-Shot Reasoners"☆106Updated 7 months ago
- DialOp: Decision-oriented dialogue environments for collaborative language agents☆106Updated 5 months ago
- ☆93Updated 4 months ago
- Official code for ACL 2023 (short, findings) paper "Recursion of Thought: A Divide and Conquer Approach to Multi-Context Reasoning with L…☆43Updated last year
- Just a bunch of benchmark logs for different LLMs☆119Updated 8 months ago
- ☆81Updated last year
- Code and data accompanying our paper on arXiv "Faithful Chain-of-Thought Reasoning".☆158Updated 11 months ago
- A codebase for "Language Models can Solve Computer Tasks"☆234Updated 11 months ago
- Meta-CoT: Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models☆96Updated last year
- The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"☆108Updated last year
- Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"☆94Updated last year
- A re-implementation of Meta-Prompt in LangChain for building self-improving agents.☆63Updated 2 years ago
- A DSPy-based implementation of the tree of thoughts method (Yao et al., 2023) for generating persuasive arguments☆77Updated 6 months ago
- ☆33Updated last year
- Official Implementation of InstructZero; the first framework to optimize bad prompts of ChatGPT(API LLMs) and finally obtain good prompts…☆195Updated 9 months ago
- Functional Benchmarks and the Reasoning Gap☆85Updated 6 months ago
- Implementation of the paper: "AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?"☆54Updated 4 months ago
- Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments (EMNLP'2024)☆36Updated 3 months ago
- Collection of Tree of Thoughts prompting techniques I've found useful to start with, then stylize, then iterate☆87Updated last year
- ☆48Updated last year
- Evaluating LLMs with CommonGen-Lite☆89Updated last year
- SCREWS: A Modular Framework for Reasoning with Revisions☆27Updated last year
- Small and Efficient Mathematical Reasoning LLMs☆71Updated last year
- [NeurIPS 2023] PyTorch code for Can Language Models Teach? Teacher Explanations Improve Student Performance via Theory of Mind☆67Updated last year
- Source code for our paper: "SelfGoal: Your Language Agents Already Know How to Achieve High-level Goals".☆66Updated 9 months ago
- Code for paper "LEVER: Learning to Verifiy Language-to-Code Generation with Execution" (ICML'23)☆86Updated last year