Self-reflection (Optional) [ ] Installation Please clone the repository with all the submodules by running the following command: git clone --recurse-submodules git@github.com:camel-ai/alpha-craft.git MineDojo Environment MineDojo is a Minecraft environment that is designed for reinforcement learnin...
Here are 2 public repositories matching this topic... RAG with Seach capabilities using Lang graph with question routing and self-reflection. pythonrouterlanggraphself-reflective-rag UpdatedJul 27, 2024 Jupyter Notebook Exploring SOTA Advanced RAG techniques: This project implements a self reflective ...
Self-RAGtrains two models,CriticandGenerator, both of which expand token vocabularies with reflection tokens and are trained with the standard next token prediction objective. Step 1: Critic Data Creation: Generating Critic training data with GPT4. ...
The code of Z-Sampling, proposed in our paper "Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection". - xie-lab-ml/Zigzag-Diffusion-Sampling
git clone https://github.com/YutongWang1216/ReflectionLLMMT.git cd ReflectionLLMMT pip install -r requirments.txt Fine-tuning for TasTe models (1) FixEmb: Tuning with Embedding Layers Fixed train/train_fixemb.sh (2) Full: Tuning with Full Parameters train/train_full.sh Make sure to fil...
Describe the UX of the solution you'd like After some defined schedule, prompt the agent to do a self-reflection (probably as a user message). Do you have thoughts on the technical implementation? Describe alternatives you've considered ...
文章名称:SELF-RAG: LEARNING TO RETRIEVE, GENERATE, AND CRITIQUE THROUGH SELF-REFLECTION 文章链接:https://arxiv.org/pdf/2310.11511.pdf github链接:https://github.com/AkariAsai/self-raghttps://selfrag.github.io/ 目前先进的大型语言模型(LLMs)在生成回答时仍然存在事实错误的问题,尽管它们的模型规模和数...
Self-reflection on response quality Identified knowledge gaps Research queries Search results summary Project Structure dox_agent/ ├── __init__.py ├── __main__.py ├── chains.py # Chain definitions ├── cli.py # Command line interface ├── config/ # Configuration and settings │...
Self-RAG uses on-demand retrieval and self-reflection to enhance LLM performance. The model generates both task outputs and special reflection tokens for self-assessment. Reflection tokens are divided into retrieval and critique tokens for better output evaluation. ...
We then propose different ways of constructing prompts that are conservative in identifying mistakes and show that self-reflection using such prompts results in higher accuracy. Our findings highlight the importance of prompt engineering in self-reflection tasks. We release our code at https://github...