{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/458f9b6679b740f0a5c78a33fffee3dc\" frameborder=\"0\" width=\"1730\" height=\"1297\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1297,"width":1730,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1297,"thumbnail_width":1730,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/458f9b6679b740f0a5c78a33fffee3dc-00001.gif","duration":86.69999999999997,"title":"Axilla: an end-to-end open source TypeScript framework for LLMs","description":"In this video, I introduce Axilla's open-source TypeScript framework for working with LLMs. The first module, axgen, focuses on data loading and retrieval of questions with augmented context. \n\nStar axgen on github: https://github.com/axilla-io/ax\n\nI will demonstrate a demo UI that showcases the capabilities of this framework, which is fully configurable. We will use GPT4 and ingest the San Francisco Wikipedia page as an example. I will also show you how to ask questions to the LLM, both with and without passing context documents. Join me in exploring this powerful framework!"}