The Token Toll of Reasoning: How Context Window Limits Impact LLMs
Large Language Models (LLMs) have transformed how we process and interact with information. However, their capabilities are bounded by certain constraints, one of the most significant being the context window size—the amount of information the model can consider at once. While this limitation is often associated with the length of input text, the complexity of […]
Making AI Work for Code Documentation
In the realm of large-scale software projects, well-maintained documentation is essential for smooth collaboration, efficient onboarding, and effective maintenance. However, the sheer scale and complexity of ever-evolving codebases present unique challenges. While Large Language Models (LLMs) promise to streamline documentation, their limitations in understanding context and generating tailored content often hinder their effectiveness. This […]
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 […]
Exploring Awarity’s Elastic Context Window: A New Era in LLM Reasoning
Awarity is introducing a groundbreaking service that enhances how large language models (LLMs) reason over extensive sets of private data. We recorded this video to provide an early glimpse into the product’s capabilities. It showcases Awarity’s ability to analyze a due diligence folder containing 71 diverse documents, including Word docs, Excel files, PDFs, and PowerPoint […]
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 […]
Smarter AI for Leaner Operations: The Hybrid LLM Advantage
In today’s AI-driven business landscape, enterprises are continuously exploring ways to harness the power of LLMs to enhance operations, improve customer experiences, and make sense of vast amounts of private data. Yet, the growing complexity and computational demands of LLMs bring significant costs, prompting organizations to look for more efficient alternatives. A hybrid approach to […]