In streaming, the challenge is immediate: customers are watching TV right now, not planning to watch it tomorrow. When systems fail during prime time, there is no recovery window; viewers leave and ...

When a blog post by Andrej Karpathy lands in your feed, you pay close attention, simply because few voices in the field of ...

This repository contains the official implementation of "MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation" by Gurucharan Marthi Krishna Kumar, ...

"Grounded AI is non-negotiable, because accuracy isn’t optional when we’re doing million-dollar transformation projects ...

The final, formatted version of the article will be published soon. Synapses are the highly specialized connection sites between neurons enabling the establishment of complex neuronal networks. As ...

Autonomous agents powered by large language models (LLMs) are increasingly deployed in real-world applications requiring complex, long-horizon workflows. However, existing benchmarks predominantly ...

LLM: "Call get_expenses(employee_id=1)" → Returns 100 expense items to context LLM: "Call get_expenses(employee_id=2)" → Returns 100 more items to context ... (20 employees later) → 2,000+ line items ...

Large language models often lie and cheat. We can’t stop that—but we can make them own up. OpenAI is testing another new way to expose the complicated processes at work inside large language models.

As AI systems enter production, reliability and governance can’t depend on wishful thinking. Here’s how observability turns large language models (LLMs) into auditable, trustworthy enterprise systems.

This Thanksgiving Leftovers Casserole is an easy way to turn all your holiday leftovers into one hearty baked dish. It layers stuffing, turkey, mashed potatoes, cranberry sauce, gravy, and cheese — ...