Search Results for "continue"

...Rather than simply answering a single request and stopping, Ralph Loop implements a loop control architecture that allows an agent to repeatedly evaluate its progress, adjust its approach, and continue working toward a defined completion criteria until tasks are fully resolved. It includes loop control primitives like stop conditions and context management, allowing developers to build sophisticated agent workflows that can persist state, evaluate when to pause, and manage decision boundaries programmatically. Ralph-Loop-Agent is written in TypeScript and designed to integrate smoothly with the broader Vercel AI SDK ecosystem, including examples that tie into web interfaces, Playwright automation, PostgreSQL, and GitHub PR workflows.

MedicalGPT training medical GPT model with ChatGPT training pipeline, implementation of Pretraining, Supervised Finetuning, Reward Modeling and Reinforcement Learning. MedicalGPT trains large medical models, including secondary pre-training, supervised fine-tuning, reward modeling, and reinforcement learning training.