Webinar Replay: The 4 Biggest Challenges of Scaling Cloud-Native AI Workloads
Learn the biggest obstacles with load test automation, and how existing user traffic holds the key to scaling eCommerce software safely, and fast.
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Modern Software Development For Today's Systems & Applications
Technology
Testing LLM Backends for Performance with Service Mocking
While incredibly powerful, one of the challenges when building an LLM application (large language model) is dealing with performance implications.
Overcoming scale challenges with AWS & CloudFront - 5 key takeaways
The Ably service handles massive amounts of data throughput and concurrent connections for many customers while maintaining a highly reliable and available service, with a 5x9s uptime guarantee. Ably has no scale ceiling, and that’s challenging work (it’s one of the reasons I joined Ably). While the challenges we face in delivering our service are compelling, we sometimes face novel internet scale problems, such as breaching the limits of AWS services!
Serverless GPUs in Private Preview: L4, L40S, V100, and more
Today, we’re excited to share that Serverless GPUs are available for all your AI inference needs directly through the Koyeb platform! We're starting with GPU Instances designed to support AI inference workloads including both heavy generative AI models and lighter computer vision models. These GPUs provide up to 48GB of vRAM, 733 TFLOPS and 900GB/s of memory bandwidth to support large models including LLMs and text-to-image models.
Enforcement of Apple Privacy Manifest starting from May 1, 2024
Here's how Apple's upcoming Privacy Manifest enforcement, starting May 1, 2024, will change the way app developers handle privacy. Learn the details of the new requirements, from creating privacy manifest files to meeting crucial deadlines, to ensure your app meets Apple's stringent privacy standards.
Complete Guide to SwiftUI Lists for Developers
Whether it’s the groceries you need from the store, the chores your mom left on the kitchen counter for when you got home from class, or even things to do before you die, lists are everywhere. Presenting data in a column (or a list) is the most familiar and natural way to organize information in both the analogue and digital worlds.
What Are the Security Risks Associated with AI-Generated Code? | Vandana Verma | #QonfX 2024
In this session, Vandana Verma explores the intersection of AI and security in software development. Vandana delves into the potential of AI-powered coding tools like GitHub Copilot and ChatGPT to accelerate project delivery while highlighting the inherent security challenges they pose. Through a hands-on demonstration, Vandana showcases the construction of a demo app using GitHub Copilot, followed by the identification and exploitation of vulnerabilities within the AI-generated code.
Unveiling the 'Black Box': How Explainable AI Transforms Decision-Making in Business
There is an increasing demand for openness and accountability in Artificial Intelligence (AI) decision-making processes. Explainable Artificial Intelligence (XAI) is a developing idea as organizations attempt to comprehend and trust AI’s suggestions and insights. Gartner expects that explainable AI will reach the pinnacle of expectations. Over the next fifteen years, XAI will enter the decisive stages of development.