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TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
The main features of microsoft/textworld are: Agent Environments, Retrieval Augmented Generation.
Open-source alternatives to microsoft/textworld include: anthropics/anthropic-cookbook — This repository is a collection of guides, notebooks, and recipes for implementing advanced prompting techniques and… aiplanethub/beyondllm — Build - Rapid Experiment - Evaluate - Observability. amazon-science/ragchecker — RAGChecker: A Fine-grained Framework For Diagnosing RAG. answerdotai/rerankers — A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models. agi-templar/stable-alignment. 1panel-dev/maxkb — MaxKB is a self-hosted retrieval-augmented generation platform designed to connect internal document repositories with…
This repository is a collection of guides, notebooks, and recipes for implementing advanced prompting techniques and workflow patterns with large language models. It serves as a prompt engineering guide, an evaluation suite for scoring prompt quality, and a framework for orchestrating agents and integrating external tools. The project provides implementation patterns for building applications with Claude, specifically focusing on coordinating multiple models to split complex tasks between high-reasoning and high-efficiency agents. It includes technical demonstrations for multimodal data proce
Build - Rapid Experiment - Evaluate - Observability
RAGChecker: A Fine-grained Framework For Diagnosing RAG