Part 10/11:
Open-Source Progress and Community Involvement
While larger proprietary models still outperform open-source variants in raw performance, improvements are notable when smaller models are equipped with specialized modules and expert-designed libraries. This insight opens doors for more cost-effective, customizable AI solutions that can suit specific needs.
The Road Ahead
Naous Research's vision is clear: create unrestricted, transparent, and customizable AI tools that can serve as building blocks for a wide array of applications, from research to autonomous systems. Their focus on open models like Hermes and innovative reasoning architectures like Forge indicates a push toward more capable, adaptable AI—one that can better mimic human-like understanding and decision-making.