{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/529e2fdd85c94517b9b422f27e2166af\" frameborder=\"0\" width=\"1902\" height=\"1426\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1426,"width":1902,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1426,"thumbnail_width":1902,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/529e2fdd85c94517b9b422f27e2166af-26c84049d0f5f465.gif","duration":293.639,"title":"Introducing Few-Shot Prompting Feature 🚀","description":"Hey everyone, I'm Jake from the Langsmith engineering team, and I'm excited to share our newest beta feature on few-shot prompting. Few-shot prompting allows you to enhance your application's performance without complex prompt engineering by leveraging Langsmith datasets. Join me as I demonstrate how to set up and utilize this feature using a sample notebook. Let's make prompt creation easier and more effective together!"}