Nemotron 3: NVIDIA’s Latest LLM in Plain English
A simple breakdown of LatentMoE, 1M context, reinforcement learning, and NVIDIA’s open model strategyContinue reading on Towards AI »
A simple breakdown of LatentMoE, 1M context, reinforcement learning, and NVIDIA’s open model strategyContinue reading on Towards AI »
Chat templates, synthetic data pipelines, deduplication, and the exact failure modes that kill fine-tuned models before training even startsYou spent three days cleaning your data. You wrote the training script. The loss curve looks perfect. You deploy…
One of the first controversies of its kind.
Your AI agents are making decisions right now. Can you prove what data they used, which version it was, and whether that version was…Continue reading on Towards AI »
An overview of electrical grid data and what happens when AI datacenters plug inContinue reading on Towards AI »
Learn how I built a persistent AI workflow for weekly report automation using file-based memory and model independence. My AI assistant Axel remembers 52 weeks of context and generates reports in 3 minutes — no more babysitting ChatGPT.Generated by Cha…
No installations required on your computer.Continue reading on Towards AI »
Building production-ready LLM applications requires robust tools for development, monitoring, and continuous improvement. Langsmith is a…Continue reading on Towards AI »
Codex maker says it will “continue to support these open source projects” after deal closes.
Source: Image by the author.I’ve been experimenting with and building AI agents for production systems for several years now. In that time, I’ve shipped prompt pipelines that power customer-facing features, debugged agents that silently hallucinated to…