In the race to solve complex problems with AI, the default strategy has become brute force: bigger models, more data, larger context windows. We put that assumption to the ultimate test on a critical healthcare task, and the results didn’t just challenge the “bigger is better” m…...
Large Language Models (LLMs) have ushered in a new era of artificial intelligence, enabling systems to generate human-like text and engage in complex conversations. However, their extraordinary capabilities come with significant limitations, particularly when it comes to predict…...
The rapid advancement of Large Language Models (LLMs) has brought remarkable progress in natural language processing, empowering AI systems to understand and generate text with unprecedented fluency. Yet, these systems face a critical limitation: while they excel at processing l…...
In the beginning there was keyword search . Eventually word embeddings came along and we got Vector Databases and Retrieval Augmented Generation (RAG) . They were good for writing blog posts about topics that sounded smart, but didn’t actually work well in the real world. Fast f…...
As artificial intelligence (AI) becomes a powerful part of our daily lives, it’s amazing to see how many directions the technology is taking. From creative tools to customer service automation, AI can be both a powerhouse and, at times, a bit of a playground. At Intelligence Fac…...
When it comes to data retrieval, most organizations today are exploring AI-driven solutions like Retrieval-Augmented Generation (RAG) paired with Large Language Models (LLM) . These systems have certainly made strides in helping businesses pull information from large datasets an…...