How far can a mid sized language model go if the real innovation moves from the backbone into the agent scaffold and tool stack?

How far can a mid sized language model go if the real innovation moves from the backbone into the agent scaffold and tool stack?

How far can a mid sized language model go if the real innovation moves from the backbone into the agent scaffold and tool stack?

Shobha is a data analyst with a proven track record of developing innovative machine-learning solutions that drive business value.

Google Cloud has just released an extraordinary compendium of 601 real-world generative AI (GenAI) use cases from some of the world’s top organizations — a major leap from the 101 use cases it shared ...

Kimi K2, launched by Moonshot AI in July 2025, is a purpose-built, open-source Mixture-of-Experts (MoE) model—1 trillion total parameters, with 32 billion active parameters per token. It’s trained ...

MLE-STAR (Machine Learning Engineering via Search and Targeted Refinement) is a state-of-the-art agent system developed by Google Cloud researchers to automate complex machine learning ML pipeline ...

ACE positions “context engineering” as a first-class alternative to parameter updates. Instead of compressing instructions into short prompts, ACE accumulates and organizes domain-specific tactics ...

Git is a distributed version control system that helps you track changes in your code, collaborate with others, and maintain a history of your project. Git Bash is a terminal application for Windows ...