Member-only story
The Open Source “Agentic Reasoning” Beats Google Gemini Deep Research
A deep dive into how the “Agentic Reasoning” framework works and the techniques behind it that make it outperform the most advanced reasoning LLMs today.
Deep Research is getting popular.
With Google releasing an LLM agent that can impressively complete complex multi-step research tasks, this trend was soon followed by OpenAI and then Perplexity.
Now, there’s another exciting update, which surprisingly is open-source.
A team of researchers from the University of Oxford has just put out a framework called Agentic Reasoning that uses external tool-using LLM agents to solve multi-step logical problems that require deep research.
The results of this framework are surprisingly good, so much so that it outperforms leading RAG systems and closed source LLMs on PhD-level scientific reasoning (GPQA) and domain-specific deep research tasks.
The framework even beats Google Gemini Deep Research across multiple open-ended Q&A tasks in finance, medicine and law!
