In Large Language Models (LLMs) like ChatGPT, "context history" refers to the information that the model retains from the current conversation or interaction, which it uses to inform and shape…

The roots of Bayesian probability can be traced back to the 18th century, specifically to Thomas Bayes, an English statistician, philosopher, and Presbyterian minister. Born around 1701 in London, Bayes…

Jupyter and JupyterLab have emerged as two pivotal tools In the world of data science and scientific computing. While they may seem similar at first glance, there are key differences…

At Jaxon AI, we understand the critical role of Large Language Models (LLMs) in driving innovation and efficiency in various sectors, especially regulated industries. A significant challenge that has emerged…

Jaxon's Chief Data Scientist describes Domain-Specific AI Language or “DSAIL” as "a formal specification language within a formal reasoning system that uses formal methods." But what does that actually mean…

In the world of artificial intelligence, particularly with large language models (LLMs), there’s a major issue known as the hallucination problem. This isn't about AI seeing things; it's about AI…

Jaxon has been doing a lot of work in regulated industries like Financial Services, Healthcare, and Insurance. Places where AI's decisions have profound implications. Something we've learned while working with…

In an era defined by rapidly evolving threats and challenges, Jaxon stands sentinel at the nexus of artificial intelligence and national defense. Collaborating with the defense sector, we deploy cognitive…

The digital world is awash with an abundance of text-based information. This wide spectrum of knowledge is structured in the form of various documents. From research papers, corporate memos, and…

In the realm of machine learning, we've been witnessing an incredible evolution in our ability to process and understand data at a massive scale. One of the most promising intersections…