Articles for category: AI Tools

March 5, 2025

ikayaniaamirshahzad@gmail.com

Title Launch Observability at Netflix Scale | by Netflix Technology Blog | Jan, 2025

Part 2: Navigating Ambiguity By: Varun Khaitan With special thanks to my stunning colleagues: Mallika Rao, Esmir Mesic, Hugo Marques Building on the foundation laid in Part 1, where we explored the “what” behind the challenges of title launch observability at Netflix, this post shifts focus to the “how.” How do we ensure every title launches seamlessly and remains discoverable by the right audience? In the dynamic world of technology, it’s tempting to leap into problem-solving mode. But the key to lasting success lies in taking a step back — understanding the broader context before diving into solutions. This thoughtful

March 5, 2025

ikayaniaamirshahzad@gmail.com

Mongorestore Examples for Restoring MongoDB Backups – BMC Software

It is essential to have an efficient and reliable data restoration method after backing up data during the backup and restore process. Consider the differences: A properly configured restoration method means users can successfully restore the data to the previous state. A poor restoration method makes the whole backup process ineffective, by preventing users from accessing and restoring the backed-up data. The mongorestore command is the sister command of the mongodump command. You can restore the dumps (backups) created by the mongodump command into a MongoDB instance using the mongorestore command. In this article, you will learn how to utilize

March 5, 2025

ikayaniaamirshahzad@gmail.com

4-Bit Quantization with Lightning Fabric

Takeaways Readers will learn the basics of Lightning Fabric’s plugin for 4-bit quantization. Introduction The aim of 4-bit quantization is to reduce the memory usage of the model parameters by using lower precision types than full (float32) or half (bfloat16) precision. Meaning – 4-bit quantization compresses models that have billions of parameters like Llama 2 or SDXL and makes them require less memory. Thankfully, Lightning Fabric makes quantization as easy as setting a mode flag in a plugin! 4-bit Quantization 4-bit quantization is discussed in the popular paper QLoRA: Efficient Finetuning of Quantized LLMs. QLoRA is a finetuning method that

March 5, 2025

ikayaniaamirshahzad@gmail.com

Challenges & Solutions For Monitoring at Hyperscale

“What is not measured, cannot be improved.” This quote has become a guiding principle for teams training foundation models. When you’re dealing with complex, large-scale AI systems, things can spiral quickly without the right oversight. Operating at hyperscale poses significant challenges for teams, from the large volume of data generated to the unpredictability of hardware failures and the need for efficient resource management. These issues require strategic solutions, that’s why monitoring isn’t just a nice-to-have—it’s the backbone of transparency, reproducibility, and efficiency. During my talk at NeurIPS,  I broke down five key lessons learned from teams facing large-scale model training

March 5, 2025

ikayaniaamirshahzad@gmail.com

What’s New in AI/BI – Feb ‘25 Roundup

Introduction AI/BI Dashboards and Genie are evolving at a breakneck pace. In this roundup, we’ll highlight the most impactful updates from the past three months that make AI/BI more powerful, easier to use, and smarter than ever. For those unfamiliar, AI/BI is a suite of Business Intelligence (BI) capabilities that are included with the Databricks SQL product. Now is the perfect time to start if you haven’t explored it yet. With Databricks AI/BI, you can quickly and easily unlock and share insights from your data—without the need for a separate BI system. Let’s take a closer look at the latest

March 5, 2025

ikayaniaamirshahzad@gmail.com

Prozessvisualisierung mit generativer KI im Praxistest

Prozessvisualisierung mit generativer KI im Praxistest Auswahl des passenden Modells Auf Sprachmodelle zugreifen Bildprompts nutzen Mit Feedback arbeiten Weitere Beispiele Fazit Artikel in iX 3/2025 lesen Wer sich auf die Suche nach intelligenten Helferlein für den Büro- oder auch Privatalltag begibt, wird bereits bei OpenAI fündig: Die GPTs, spezialisierte, von ChatGPT abgeleitete Chatbots, stellen allerlei nützliche Handreichungen in Aussicht – von der Wikipedia-Recherche bis zur Wireframe-Gestaltung scheint vieles abgedeckt. Beim Blick auf das tatsächliche Vorgehen werden jedoch Schwächen deutlich: Bei Aktivierung eines GPT übernimmt ChatGPT eine andere Persona und verwendet bestimmte Tools und Hintergrundinformationen, die vom Ersteller des GPT konfiguriert

March 5, 2025

ikayaniaamirshahzad@gmail.com

AI video is having its Stable Diffusion moment

AI video used to not be very good: Will Smith eating spaghetti, u/chaindrop, March 2023 Then, 10 months later, OpenAI announced Sora: Creating video from text, OpenAI, February 2024 Sora reset expectations about what a video model could be. The output was high resolution, smooth, and coherent. The examples looked like real video. It felt like we’d jumped into the future. The problem was, nobody could use it! It was just a preview. This was like when OpenAI announced the DALL-E image generation model back in 2021. It was one of the most extraordinary pieces of software that had been

March 5, 2025

ikayaniaamirshahzad@gmail.com

Optimizing AI Models with Quanto

The transformer-based diffusion models are improving day by day and have proven to revolutionize the text-to-image generation model. The capabilities of transformers enhance the scalability and performance of any model, thereby increasing the model’s complexity. “With great power comes great responsibility” In this case, with great model complexities comes great power and memory consumption. For instance, running inference with models like Stable Diffusion 3 requires a huge GPU memory, due to the involvement of components—text encoders, diffusion backbones, and image decoders. This high memory requirement causes set back for those using consumer-grade GPUs, which hampers both accessibility and experimentation. Enter