Local LLMs are becoming mainstream with sites like HuggingFace promoting open sharing of trained LLMs. These LLMs are often very small but still extremely accurate, especially for domain-specific tasks like medicine, finance, law, and others. Gemma is a multi-purpose LLM and, while small, is competitive and accurate. Local LLMs also have the advantage of being completely run inside your own environment.

There’s nothing businesses desire more than growth. Your growth rate is a telling indicator of how far you’ve come in business and how soon you’ll be able to break even on investments. And if your company is shooting for an exit soon, your growth rate can be the difference between a few hundred thousand vs millions in investment dollars. With SaaS, the stakes are even higher.

In this blog post, we’ll demonstrate how easy it is to use Gateway API HTTPRoutes to route traffic to workloads deployed in different namespaces in a single Kubernetes cluster — a process that’s easier than ever. Previously, we only had Ingress API to define ingress routing rules. It served us well, but it also had its flaws and limitations that we had to overcome, sometimes in a hacky way.

It’s no surprise that ever since ChatGPT’s broader predictive capabilities were made available to the public in November 2022, the sprawl of stakeholder capitalization on large language models (LLMs) has permeated nearly every sector of modern industry, accompanied or exacerbated by collective fascination. Financial services is no exception. But what might this transformation look like, from practical applications to potential risks?

ETL testing is a set of procedures used to evaluate and validate the data integration process in a data warehouse environment. In other words, it’s a way to verify that the data from your source systems is extracted, transformed, and loaded into the target storage as required by your business rules. ETL (Extract, Transform, Load) is how data integration tools and BI platforms primarily turn data into actionable insights.

Insurers’ profitability (and survival) is being threatened by a myriad of challenges—rising policy lapses due to higher premiums, customer churn from tightening budgets, and skyrocketing customer expectations. Squeezed by these pressures, insurers must find ways to improve efficiencies in their core processes. But there is a way forward for insurers: Business process management (BPM), an approach to improving organizational processes that is designed to optimize work.

The U.S. Bureau of Labor Statistics reports that the incidence rate of nonfatal workplace accidents has decreased over the years, which can be attributed to the implementation of preventive measures in private industry. Despite this positive trend, companies deal with large volumes of unstructured data that demand effective management. Addressing these complexities is easier with Astera’s unstructured data extraction solution.

BigQuery’s entity resolution framework lets customers integrate directly with the identity providers and match their records to an identity domain.

On January 11, 2024, a rare and unprecedented event unfolded as the Federal Aviation Administration (FAA) decided to ground all flights. The catalyst was critical issues within the system responsible for alerting pilots to potential airborne and ground dangers. This marked the first complete shutdown of U.S. airspace since the aftermath of the 9/11 attacks, unleashing chaos and confusion.

REST API is an application programming interface that continues to grow in popularity due to its flexibility and scalability. In this detailed guide, we will outline how to document your REST API like a pro, guiding you through the process clearly and concisely to make things as easy as possible. From the basics, what you need to include, and all the way to the tips and tricks, we will provide everything you need to know to create perfect documentation.