Our goal is simple – be your best partner building cloud-based software and data solutions. We achieve this by being easy to work with and providing innovative, start-up minded people with the right experience and customer orientation to deliver excellent results.
It was the year 1904 and 20 million people traveled from around the globe to the St. Louis World’s Fair. For seven months, these fairgoers explored – by foot, by boat and even by elephant – a dreamlike city of spectacular buildings and transformed landscapes that stood on the grounds of what was once a city park. They discovered the world’s latest achievements in technology, fine arts, manufacturing, science, civics, foreign policy and education.
The year 1904 brought tremendous passion, talent and innovation to St. Louis. Inspired by that legacy, 1904labs seeks to ignite those same qualities in new and exciting ways. Founded 112 years later, and just blocks away from the original 1904 fairgrounds, we are agile and innovative technologists with an entrepreneurial spirit and a passion for designing and building cutting-edge cloud-based software and data solutions for our clients.
As it was at the turn of the 20th century, the world is again undergoing constant and rapid technological change. Computing is moving from on-premise to the cloud. The volume and velocity of data – referred to as Big and Fast Data – creates both opportunities and never-before-seen challenges for companies to capitalize on this information.
Today we help some of the world’s largest companies innovate further, bringing them the nimbleness of a startup without the risks, challenges or costs associated with building new teams internally. We rapidly and cost-effectively develop specialized software solutions – everything from a proof-of-concept to a ready-to-deploy solution.
1904labs allows employees to grow both professionally and personally while making a meaningful difference for our client and community.
Evaluating Large Language Models is not just important but essential in leveraging their capabilities effectively. It is crucial to approach this evaluation with a standardized and multifaceted methodology, considering the unique and advanced nature of these models.