1Mastering Large Model Development from Scratch: Beyond the AI "Black Box"Stop being a mere AI "API caller." Learn how to build a Large Language Model (LLM) from scratch. This guide covers the 4-step training process, RAG vs. Fine-tuning strategies, and how to master the AI "black box" to regain freedom of choice in the generative AI era.
2Top 15 Common Bugs in Mobile Apps and How to Fix ThemIn this article, we will explore the top 15 common bugs found in mobile apps and provide insights on how to fix them. By addressing these bugs, developers can create a seamless user experience and ensure their apps function flawlessly.
3Testing Considerations for Location-Based AppsThis article will discuss key considerations for testing location-based apps, including GPS and network testing, battery consumption, permissions and privacy, geofencing and proximity alerts, integration with mapping services, performance testing, and usability.
4Challenges in Mobile Application TestingThis article explores the complexities involved in testing mobile applications, including device fragmentation, network connectivity, battery consumption, security vulnerabilities, operating system updates, background processes, and adherence to app store guidelines.
5Navigating the Road to Success in Designing Distributed SystemsThis article discusses the author's various endeavors in the realm of mobile gaming to implement distributed systems and outlines the definition of services, the development of the overall framework, and the process of internal service segmentation during these efforts.