As artificial intelligence (AI) changes industries at a dizzyingly rapid pace, industries and governments alike are just beginning to grapple with the implications of the groundbreaking technology. One major issue has come to the foreground: data privacy concerns. Between possible data breaches and companies using your data to train their own models (and perhaps helping your competition in the process), enterprises have concerns.

Get a comprehensive overview of Fintech app development and learn how a solid mobile testing infrastructure can help you stay competitive in the market.

With the rise of ChatGPT and Artificial Intelligence, the role of APIs has become increasingly crucial. The recent launch of OpenAI’s ChatGPT API has generated significant interest and holds immense potential for businesses worldwide. Although much has been written on the topic of how to integrate ChatGPT into your existing product or application, there hasn’t been much discussion around how integrating your API into ChatGPT can power organizational insights and growth.

👋 Welcome to our guide on using Tuist and Codemagic CI/CD for mobile developers. In this guide, we’ll focus on how you can utilize the capabilities of Tuist, a command-line tool that helps maintain and interact with Xcode projects, in conjunction with Codemagic to expedite your build processes. We can significantly enhance build speed and efficiency through smart caching techniques. 🚀

This blog series covers how to run, train, fine-tune, and deploy large language models securely inside your Snowflake Account with Snowpark Container Services This year there has been a surge of progress in the world of open source large language models (LLMs). This world of free and open source LLMs took yet another major step forward just this week with Meta’s release of Llama v2.

We urge users not on private or dedicated plans to test their builds on Xcode 15 with the Edge stacks before September, 2023.

In the age of big data, where humans generate 2.5 quintillion bytes of data every single day, organizations like yours have the potential to harness more powerful analytics than ever before. But gathering, organizing, and sorting data still proves a challenge. Put simply, there's too much information and not enough context. The most popular commercial data warehouse solutions like Amazon Redshift say they deliver structured, usable data for businesses. But is this true?

Our thing is to let you deploy your apps globally in less than 5 minutes with high-end performance. Not only does this require us to be meticulous about everything composing our infrastructure layer, but also we have to support high-level protocols like WebSockets, HTTP/2, and gRPC. There are two major things in the infrastructure impacting performance: hardware and network. On the hardware side, we deploy all apps inside microVMs on top of high-end bare metal servers around the world.