#United States #San Francisco #AI Optimization #Not Diamond #Prompt Adaptation

Not Diamond Launches Revolutionary Prompt Adaptation for AI

On May 20, 2025, Not Diamond, an esteemed provider of multi-model AI infrastructure, officially introduced their latest innovation: Prompt Adaptation. This system is poised to transform how enterprises utilize AI by enhancing the efficiency and effectiveness of their models. The announcement was made during SAP Sapphire 2025, where industry leaders witnessed a glimpse into how the integration between SAP’s generative AI hub and Not Diamond’s technology aims to drive improvements in performance and accuracy.

The significance of Prompt Adaptation lies in its ability to automatically optimize prompts across various AI models. Given the rapid pace at which new AI models are emerging, often accompanied by variable performance metrics, this system was constructed to help enterprises maintain their competitive edge. With the support from notable investors like IBM and SAP.iO Fund, Not Diamond's initiative highlights a paradigm shift towards modular and dynamic AI infrastructures.

In his remarks, Tomás Hernando Kofman, the co-founder and CEO of Not Diamond, emphasized the transition to a new era of AI. He stated, “Prompt engineering can't scale manually across models anymore.” This sentiment underscores the pressing need for enterprises to adopt automated solutions that ease the complexities involved in engineering prompts across multiple models. Prompt Adaptation is designed to aid in these challenges by permitting the rapid adaptation and optimization of prompts, ensuring superior performance with minimal manual intervention.

The Value of Prompt Adaptation

The implementation of this agentic system promises to facilitate several core benefits:

• - Model Agility: As the AI landscape quickly evolves, Prompt Adaptation empowers organizations like SAP to swiftly adjust to changes, ensuring they utilize the best-performing models according to their regional and operational requirements.
• - Efficiency in Model Deployment: Traditionally, integrating new models can take months. This system aims to reduce onboarding times to mere minutes, drastically improving overall engineering throughput.
• - Enhanced Cost-Effectiveness: By cutting down the need for extensive manual adjustments and providing systematic prompt optimization, enterprises can expect substantial savings in labor and resources.

Philipp Herzig, Chief Technology and AI Officer at SAP, praised the collaboration stating, “Prompt optimization is key to making Enterprise AI more flexible and less brittle.” The integration of Not Diamond’s technologies is seen as a pivotal step towards realizing the full potential of AI in business environments, allowing firms to adapt in real time to innovations and optimizations in AI.

A Look Ahead at AI's Multi-Model Future

The advancements introduced with Prompt Adaptation are considered essential to the future of AI, particularly as more businesses transition from singular model deployments to sophisticated multi-model systems. IBM’s ongoing investment substantiates this shift, revealing their intent to foster an ecosystem characterized by intelligent model routing and adaptability.

Emily Fontaine, Vice President at IBM, articulated this vision succinctly: “Generative AI requires a fit-for-purpose model strategy.” The emphasis on smaller, open-source models reflects the emerging landscape of AI development, where flexibility and scalability are paramount.

The Architecture of Prompt Adaptation

At its core, Prompt Adaptation skillfully combines intelligent workflows to analyze, refine, and optimize language prompts. This not only improves consistency across various AI use cases but also empowers enterprises to automatically select the optimal model for their specific tasks. As organizations leverage Prompt Adaptation, they can expect to:

• - Automate the optimization across multiple large language models (LLMs).
• - Significantly reduce manual prompt engineering efforts, potentially saving thousands of engineering hours.

Conclusion

Prompt Adaptation is now available for early access, heralding a transformative era for enterprise-level AI applications. For organizations looking to enhance their AI strategy and efficiency, this innovative tool represents an invaluable asset.

For more information on how to integrate Prompt Adaptation, please visit notdiamond.ai.

About Not Diamond: Not Diamond specializes in multi-model AI infrastructure designed to assist AI/ML teams in optimizing new models through intelligent routing and cross-model prompt adaptation. By alleviating traditional bottlenecks in AI development, Not Diamond empowers companies to improve their outputs and operational efficiencies significantly.