Document Extraction with Jev and docsignals
Introducing docsignals, a document extraction workflow that combines DWS with Jev for precise typed answers and exact citations.
added by @nicknamewinder
Introducing docsignals, a document extraction workflow that combines DWS with Jev for precise typed answers and exact citations.
added by @nicknamewinder
Ranked from stored criteria vectors. No live classification on this page.
This tool flags AI-generated replies on X by analyzing common writing signals. It provides instant probability assessments for each reply through a Chrome extension.
Jev, a new model architecture from TypeSafe, enables fast, structured decision-making for browser automation. It operates directly within the page state, allowing for rapid actions that enhance the automation experience.
The author shares insights on integrating a tool for spotting problematic database migrations in their CI/CD pipeline and experimenting with another tool to filter unnecessary jobs based on git diffs.
JevForm utilizes dynamic branching to customize questions based on user input, simplifying complex form creation. Built with Vercel's json-render and XState for state management.
Simulation of 100 generations for binary intent classification showed 3600 LLM calls with inconsistent quality. Using Jev, unusable results were eliminated, achieving 100% parseable quality for the next pipeline.
This approach involves using Codex to create APIs for web applications, which are then connected to ChatGPT via custom GPT Actions. With GitHub access to the project code, ChatGPT can provide insights about the app's architecture and behavior.