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 […]
Overcoming RAG Limitations with Awarity’s Elastic Context Window
Introduction Retrieval-Augmented Generation (RAG) has emerged as a popular technique to enhance the capabilities of large language models (LLMs) by combining their generative power with the ability to access and retrieve information from external knowledge sources. While RAG has shown promise in various applications, scaling it to handle the massive datasets encountered in enterprise environments […]