In this post, we'll explore the fundamentals of prompt engineering. We'll explain how Large Language Models (LLMs) interpret prompts to generate outputs, and provide tips and tricks to get you started prototyping and implementing LLMs quickly.
We’re excited to be partnering with Stability AI, to build and release the first open-source large language model that can follow human instructions.
Today we're excited to open up access to Humanloop for all developers who want to build next-generation applications with large language models like GPT-3.
Today, we are announcing the preview of Humanloop for Large Language Models (LLMs). Sign up to be part of the closed beta.
Machine learning test metrics should always be calculated with credible intervals. Credible intervals give you upper and lower bounds on test performance so you know how big your test needs to be and when to trust your models. Humanloop Active Testing can give you uncertainty bounds on your test metrics and makes this easy.
