This article is a journey into the fascinating and rapidly evolving science of LLM prompt iteration, which is a fundamental part of Large Language Model Operations (LLMOPs). We’ll use the example of generating customer service responses with a real-world…

An Open Letter to the Scientific Community The post Why Science Must Embrace Co-Creation with Generative AI to Break Current Research Barriers appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

Harnessing CPUs for Practical, Cost-Effective Machine Learning The post How to Benchmark Classical Machine Learning Workloads on Google Cloud appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

The hidden cost of storing prompts in your source code The post Why Your Prompts Don’t Belong in Git appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

Google’s hot streak in AI-related releases continues unabated. Just a few days ago, it released a new tool for Gemini called URL context grounding.  URL context grounding can be used stand-alone or combined with Google search grounding to conduct deep dives…

Learn APE, RoPE, and ALiBi positional embeddings for GPT — intuitions, math, PyTorch code, and experiments on TinyStories The post Positional Embeddings in Transformers: A Math Guide to RoPE & ALiBi appeared first on Towards Data Science. Generated by RSStT.…

Language models are becoming really good. But where did they come from? The post A Brief History of GPT Through Papers appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

The new way we pretend to know everything

AI's role in data centers is growing, but operators remain skeptical. Learn why trust is hard to earn in this high-stakes environment.

One born of modest intent, the other of hype— both now following the same hollow pattern.

The big picture matters! Based on popular requests, we are adding support to deliver additional context from the active project to the LLM. Generated by RSStT. The copyright belongs to the original author. Source

Register now free-of-charge to explore this white paper The future of robotics is being shaped by powerful technologies like AI, edge computing, and high-speed connectivity, driving smarter, more responsive machines across industries. Robots are no longer…

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Grab has developed a groundbreaking foundation model specifically designed to understand user behavior. Grab's custom solution addresses the unique challenges of a multi-service platform spanning food delivery, ride-hailing, grocery shopping, financial services…

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OpenAI has introduced a new layer to online shopping with its agent-based checkout feature.

The future of work in the age of AI and deepware.