"Are you using semantics?" It's a fair question. The word gets thrown around a lot in AI, usually without much substance. So here’s a clear answer: yes—we use semantics, deeply and deliberately.…

At Jaxon, we believe flexibility is key to building trustworthy AI workflows. Whether you're analyzing financial compliance policies, assisting with Section 8 housing eligibility determinations, or supporting mission-critical decision-making in…

Remember the future we dreamed of as kids? The one where intelligent machines helped humanity ascend—curing diseases, eliminating traffic, ending war, maybe even folding laundry properly? Yeah, that one.Instead, we’re…

GPT-4o is the internet’s latest obsession – and rightly so. With just a prompt and a photo, users are generating Studio Ghibli-style portraits of themselves, echoing the dreamy visuals of…

AI hallucinations occur because large language models (LLMs) like GPT generate text by predicting the most likely sequence of words based on their training data—not by applying logical reasoning or…

In the evolving world of AI, semantic chunking has emerged as a powerful technique to improve machine comprehension of human language. It helps bridge the gap between mere word prediction…

The concept of determinism plays a pivotal role in shaping how we develop, deploy, and trust AI systems. At Jaxon, we’ve been leveraging determinism as a central tenet of creating…

In the fast-paced world of financial services, staying ahead of the curve is essential. AI-driven technologies are transforming the landscape, enhancing efficiency, compliance, and customer satisfaction. Here are 17 innovative ways…

The Limitations of the RAG Technique in Addressing Hallucinations in Large Language ModelsIn recent years, the development of Large Language Models (LLMs) has revolutionized the field of natural language processing…

Effective use of generative AI is being blocked by the so-called “hallucination problem”, when Large Language Models (LLMs) make inaccurate predictions (flat-out fabrications). For regulated and high-risk applications, this is…