Grounding AI with Structure: Addressing Context Window Limitations for Reliable Outputs
Large Language Models (LLMs) have become indispensable tools for research, enabling organizations to analyze extensive datasets and generate actionable insights. However, to ensure these outputs are reliable, models must be effectively “grounded” in authoritative data—information that is accurate, trusted, and tailored to specific use cases. Grounding AI becomes particularly challenging when working with large, complex […]
Beyond Big: The End of the Hype Cycle
As AI continues to advance, the immense promise of Generative AI (GAI) has driven massive investment and excitement. However, signs are emerging that the GAI hype cycle may be nearing its peak, with economic demands beginning to take precedence over sheer technological ambition. Challenges like scaling limitations and data quality issues are fueling this […]