As AI reshapes industries, the deployment of Large Language Models (LLMs) in real-world environments demands more than traditional fine-tuning. To meet dynamic user needs and evolving compliance standards, AI models must move beyond memorization and embrace reasoning-driven adaptability.
In this white paper, you’ll discover:
- Why LLMs benefit from reasoning over memorization for real-world relevance
- The power of instruction tuning in developing adaptive AI solutions
- How Freyr Digital is pioneering smarter, scalable AI tools for regulatory compliance
Explore advanced techniques like instruction tuning, prompt engineering, and function calling that make AI more adaptable, scalable, and compliant with governance standards.
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