Systems | Development | Analytics | API | Testing

The rise of generative AI (gen AI) is inspiring organizations to envision a future in which AI is integrated into all aspects of their operations for a more human, personalized and efficient customer experience. However, getting the required compute infrastructure into place, particularly GPUs for large language models (LLMs), is a real challenge. Accessing the necessary resources from cloud providers demands careful planning and up to month-long wait times due to the high demand for GPUs.

Adopting and deploying Generative AI within your organization is pivotal to driving innovation and outsmarting the competition while at the same time, creating efficiency, productivity, and sustainable growth. Acknowledging that AI adoption is not a one-size-fits-all process, each organization will have its unique set of use cases, challenges, objectives, and resources.

Application Programming Interfaces (APIs) are the glue powering SaaS application connectivity. However, ensuring smooth operation of APIs requires more than just implementation; vigilant oversight and alerting can make or break your API products.

The Elixir 1.16 release candidate is out now, and it comes with some compelling improvements to diagnostics, documentation, and a few other enhancements that make Elixir an even better choice for developers. We'll dive into some of these changes and highlight Elixir's continued focus on developer happiness and community building. Let's get started!