The Georgian AI Lab outlined a resource-efficiency framework for agentic development that treats model selection as an ongoing cycle of capability investment and cost optimization, arguing open-weight…
The Georgian AI Lab benchmarked six agentic search tool configurations and found that embedding re-ranking inside the search tool lifts evidence recall by roughly 27% versus the same tool without one,…
Georgian, a private equity firm, has built Relay, an internal platform that lets AI agents publish Markdown and HTML artifacts to a secure, shareable home. The tool addresses the 'last mile' problem o…
A developer's investigation into retrieval leaderboards reveals that rankings are highly sensitive to query wording, meaning models topping benchmarks may not perform best on an application's own data…