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Finance is a complex field, and so are the laws that govern it. With multitudes of regulations surrounding everything from reporting to data security, organizations can quickly become overwhelmed. insightsoftware is here to help.

The Bitrise Runner is a new capability that allows you to use the machine of your choice within your own infrastructure, to run Bitrise builds, providing enhanced security, geolocation flexibility, and control over build environments.

To keep up with everything happening in the world of artificial intelligence, it helps to understand and grasp key terms and concepts behind the technology. In this introduction, we are going to dive into what is generative AI, looking at the technology and models they are built on. We'll discuss how these models are built, trained, and deployed into the world.

We are in a time where new technologies are being introduced rapidly in the market. This means for any business to stay competitive, it’s important to stay adaptable to change. You have to keep informed of the trends shaping the future to keep thriving. One of the most important frontiers for innovation to keep watching is the software development sector. By understanding the currents and undercurrents in this area, you can get a wider view of where the world is heading.

Ever since the release of ChatGPT in November 2022, organizations have been trying to find new and innovative ways to leverage gen AI to drive organizational growth. LLM capabilities like contextual understanding and response to natural language prompts enable the development of applications like automated AI chatbots, smart call center apps, or for financial services.

New research shows overconfidence about AI could lead to a higher risk of failure and costly mistakes amounting to hundreds of millions of dollars.

Building top-tier enterprise-grade intelligence using LLMs has traditionally been prohibitively expensive and resource-hungry, and often costs tens to hundreds of millions of dollars. As researchers, we have grappled with the constraints of efficiently training and inferencing LLMs for years.