How to Measure AI Agent Performance
Why it matters: Learn how to measure AI agent performance in 2026 with metrics, traces, and a step-by-step pipeline that catches failures before users do.
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Why it matters: Learn how to measure AI agent performance in 2026 with metrics, traces, and a step-by-step pipeline that catches failures before users do.
Google DeepMind released Quantization-Aware Training (QAT) checkpoints for the Gemma 4 family. The release targets local deployment on edge devices and consumer GPUs. It follows the Gemma 4 launch in April and a 12B model two days earlier. We compared the available Gemma 4 edge-model formats using only published numbers. The goal was simple. Show
Shell will use agents from C3 AI to shift from basic anomaly detection towards fully-automated predictive maintenance. The global energy giant is building on their current use of the C3 AI Reliability Suite, which already keeps tabs on more than 30,000 crucial pieces of equipment across upstream and downstream operations. Shell now intends to lean
How C3 AI agents will automate predictive maintenance for Shell Read More »
Perplexity AI announced what it calls the first hybrid local-server inference orchestrator at Computex 2026. The system is designed to automatically route AI tasks between a user’s local device and cloud-based frontier models without requiring the user to decide in advance. The feature is expected come to Perplexity Computer in July 2026. What is Hybrid
In this tutorial, we set up Microsoft Fara in Google Colab and run a browser-use workflow from start to finish. We begin by cloning the repository, installing the package, preparing Playwright, and verifying that the installed Fara files work even when the package layout changes. Instead of immediately relying on a heavy Fara-7B deployment, we
AI-first development is changing how software gets built. A new approach called “vibe coding” sits at the center of that shift. Developers describe what they want in plain language. An AI agent turns that description into working software. The term was coined by Andrej Karpathy. It captures a move away from line-by-line coding toward natural-language
15 Best Vibe Coding Tools in 2026 Compared: Pricing, Features, and Best Fit Read More »
NVIDIA has released Nemotron 3 Ultra, the largest model in its Nemotron 3 family. It targets a specific problem: long-running agents that plan, call tools, and reason across many turns. As agents run longer, token counts grow and inference cost climbs. Nemotron 3 Ultra is designed to keep accuracy high while making that inference faster
Microsoft has announced the wider testing of its new Autopilot feature at the Microsoft Build event this week, backed by a post on the company’s’ website. Autopilots are described as a new category of agents that can work autonomously on a user’s behalf. Microsoft says each Autopilot has its own identity, and so multiple agents
Scout from M’Soft is the agentic Autopilot that works across M365 Read More »
Miso Labs has released MisoTTS, an open-weights 8-billion-parameter text-to-speech model. It generates expressive speech from both text and audio context. The model uses residual vector quantization (RVQ) to widen its sonic range. This avoids scaling a single flat vocabulary while keeping parameter count fixed. What is MisoTTS MisoTTS is an 8B-parameter text-to-dialogue RVQ Transformer. It
Miso Labs Releases MisoTTS: An 8B Emotive Text-to-Speech Model with Open Weights Read More »
Google DeepMind just released Gemma 4 12B, a dense multimodal model that strips out traditional encoders entirely. Vision and audio flow straight into the LLM backbone. The result is a model that runs agentic workflows on a consumer laptop with 16 GB of RAM. It ships under the Apache 2.0 license. Model Overview & Access