AI Developer Tool / Model Adaptation / Adapters
An open-source experiment that adds a small zero-initialized overlay layer to a frozen GPT-2 so its behavior can be adjusted at inference time without retraining the base model.
The page clearly describes an AI-related developer experiment with a concrete mechanism, visible results, and repository files. It explains how the overlay works, what model it targets, how it is trained, and shows quantified behavior changes across different alpha settings, which is enough for a useful public listing.
The snapshot cuts off before the README finishes, so visitors cannot see installation steps, how to run the code, or whether the method works beyond the single showcased phrase and GPT-2 setup.
Last evaluated 117 days ago. Current rank #1792. Down 1 spot in the rankings.
A local-first Node.js utility that redacts emails, phone numbers, paths, secrets, URLs, and other identifiers from LLM prompts, then rehydrates responses locally using session-based mappings.
Self-hosted, OpenAI-compatible AI gateway for private RAG, natural-language data access, and tool-calling agents. It connects files, databases, vector stores, APIs, and MCP tools through one backend with auth, observability, and governance features.
A Claude Code skill that lets the model inspect live camera frames so it can verify hardware displays, spot wiring issues, and check physical UI behavior on real devices.
Runtime safety net for LLM agents that detects runaway token growth, classifies failure patterns, and suggests fixes without extra LLM calls. The project includes a Rust core, Python SDK, examples, benchmarks, and benchmark claims across multiple models and runs.
