A tool has been developed using decision language models to assist scientists in quickly finding relevant research papers. The author also benchmarks Jev and OpenAI's Decisions API in a related article.
added by @sinabooeshaghi
I built a tool using decision language models to help scientists quickly surface relevant papers.
OSINT Pro is a custom GPT designed to integrate AI into intelligence workflows, focusing on collection planning, source evaluation, and reporting. It enhances analysts' capabilities by organizing public information into decision-ready analysis without replacing human judgment.
Early experiments compare the Jev model from Typesafe AI with LLMs like GPT-OSS and GLM. Results indicate Jev may be suitable for production workloads, offering competitive pricing and performance.
Jevland is a curated collection of over 646 entries, including 131 open repositories, designed to provide insights into various use cases. Each entry is sourced, featuring official work, integrations, and new projects as they emerge.
The US launched America(.gov), an AI front door to 29,000 federal websites. A similar tool has been developed for Canadians, allowing inquiries in plain English or French.
User shares positive feedback on the Poke agent from Interaction. They reported a bug and conducted extensive research on ElizaOS and Virtuals using various connectors.
This Chrome extension listens to YouTube audio and detects sponsor segments to skip them in real-time. It is a prototype project that costs approximately $0.005 per video and is open-source.