Open Sourcing Guardrails on the Gateway Framework We are solving the *biggest missing component* in taking AI apps to prod → Now, enforce LLM behavior and route requests with precision, in one go.
SLiC-HF: Sequence Likelihood Calibration with Human Feedback - Summary The paper presents a new approach called SLiC-HF that uses Sequence Likelihood Calibration with Human Feedback to improve language models. The approach is shown to be effective on the TL;DR summarization task and is a simpler and more computationally efficient alternative to Reinforcement Learning
