Training AI models used to mean billion-dollar data centers and massive infrastructure. Smaller players had no real path to competing. That’s starting to shift. New open-source models and better ...

The startup has developed a platform that aims to help robotics and autonomous vehicle developers search through the massive ...

Utkarsh Amitabh says he definitely wasn't in the market for a new job in January 2025, when data labeling startup micro1 approached him about joining its network of human experts who help companies ...

Enterprises have spent the last 15 years moving information technology workloads from their data centers to the cloud. Could generative artificial intelligence be the catalyst that brings some of them ...

This white paper discusses the critical infrastructure needed for efficient AI model training, emphasizing the role of network capabilities in handling vast data flows and minimizing delays. It ...

As LLM scaling hits diminishing returns, the next frontier of advantage is the institutionalization of proprietary logic.

On stage, at NVIDIA GTC 2026, Marketeam.ai unveiled RL-KPI (Reinforcement Learning with Key Performance Indicators), a ...

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

As artificial intelligence becomes increasingly prevalent in today’s world, the importance of carefully training AI models to perform complex tasks has become more critical. However, many ...

OpenAI researchers have introduced a novel method that acts as a "truth serum" for large language models (LLMs), compelling them to self-report their own misbehavior, hallucinations and policy ...

Have you ever found yourself deep in the weeds of training a language model, wishing for a simpler way to make sense of its learning process? If you’ve struggled with the complexity of configuring ...