How Sakana trained a 7B model to orchestrate GPT-5, Claude Sonnet 4 and Gemini 2.5 Pro

How Sakana trained a 7B model to orchestrate GPT-5, Claude Sonnet 4 and Gemini 2.5 Pro

How Sakana Trained a 7B Model to Orchestrate GPT-5, Claude Sonnet 4 and Gemini 2.5 Pro

Researchers at Sakana AI have made a breakthrough in the field of artificial intelligence by introducing the "RL Conductor," a small language model trained via reinforcement learning to automatically orchestrate a diverse pool of worker LLMs. This innovation has the potential to revolutionize the way complex tasks are tackled in AI, achieving state-of-the-art results on difficult reasoning and coding benchmarks.

Background & Context

The limitations of manual agentic frameworks have long been a challenge in the field of AI. Large language models have strong latent capabilities, but tapping these capabilities to their fullest is a great challenge. Extracting this level of performance relies heavily on manually designed agentic workflows, which serve as critical components in commercial AI products. However, these frameworks fall short because they are inherently rigid and constrained. This is particularly evident in production environments, where targeting domains with large user bases with very heterogeneous demands poses a significant bottleneck.

Impact on Swiss SMEs & Finance

The introduction of the RL Conductor has significant implications for businesses, investors, and the Swiss market. By automating the coordination of worker LLMs, Sakana AI's commercial multi-agent orchestration service, Fugu, can achieve performance at a fraction of the cost and with fewer API calls than competitors. This could lead to increased efficiency and reduced costs for companies, making it more accessible for Swiss SMEs to leverage AI in their operations. Furthermore, the potential for real-world generalization in heterogeneous applications could open up new opportunities for businesses to tap into diverse markets and user bases.

What to Watch

As the RL Conductor continues to gain traction, it will be interesting to see how it is applied in various industries and use cases. The impact of this technology on the Swiss AI landscape will also be worth monitoring, particularly in the context of Swiss SMEs and fintech companies. Additionally, the potential for Sakana AI's Fugu service to become a leading player in the multi-agent orchestration market will be a key development to watch in the coming months.

Source

Original Article: How Sakana trained a 7B model to orchestrate GPT-5, Claude Sonnet 4 and Gemini 2.5 Pro

Published: May 7, 2026

Author: bendee983@gmail.com (Ben Dickson)

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Disclaimer: This article is for informational purposes only and does not constitute financial advice. Consult a licensed financial advisor before making investment decisions.