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 […]
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 […]
Navigating the Challenges of Context Window Limitations
In the deployment of Large Language Models (LLMs), context windows define the amount of data a model can process at any given time. While this might sound like a minor technical detail, it directly impacts the quality of insights generated—especially when working with enterprise-level datasets that can easily reach tens of gigabytes. For many […]
Dropbox, like many, is pushing AI
https://www.theverge.com/24128606/dropbox-drew-houston-ai-remote-work-virtual-organization What is most interesting about this post isn’t that Dropbox is attaching to AI but that Dropbox is also pushing work from home.