You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...

Key Takeaways LLM workflows are now essential for AI jobs in 2026, with employers expecting hands-on, practical skills.Rather than courses that intensively cove ...

This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

Microsoft used Nvidia's GTC conference this week to roll out a series of enterprise AI announcements spanning agent infrastructure, real-time voice interactions and next-generation GPU deployments.

How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.

The Azure Kubernetes Service (AKS) team at Microsoft has shared guidance for running Anyscale's managed Ray service at scale. They focus on three key issues: GPU capacity limits, scattered ML storage, ...

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

It's perfect for privacy-conscious folks looking to break away from ChatGPT ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

On Windows 11, you can manage many different features and system settings, but settings are scattered across the operating system, and many features cannot be configured. This is when the Sophia ...

Abstract: Fine-tuning large language models (LLMs) is critical for adapting pretrained models to specialized downstream tasks. Federated LLM fine-tuning enables privacy-aware model updates by allowing ...

The Information has published a report with interesting tidbits about Apple’s partnership with Google, which will have Gemini serve as the foundation for its AI features, including the new Siri. Here ...