This course covers the coding essentials for deploying and running Large Language Models (LLMs) locally and in cloud environments. It provides practical knowledge on managing these models in various operational setups.
NEES Guard for Gemma 4 is a full-stack demo that adds a governance layer to open-model intelligence, ensuring predictable and controlled responses. It implements intent detection, risk classification, and policy decisions before responses reach the end-user.
The Gemma open model family introduces new updates and features, aiming to enhance its performance and accessibility for developers. These novelties strengthen the open-source AI ecosystem, driving further innovation.
Open models like GLM-5 and MiniMax M2.7 have crossed a threshold, matching closed frontier models on core agent tasks. They offer comparable performance in file operations, tool use, and instruction following, but at a fraction of the cost and latency.
GLM 5.1 alcançou o topo das classificações da arena de código para modelos abertos. Isso indica sua alta performance e relevância no campo da IA.
Gemma 4 representa a geração mais inteligente de modelos abertos da Google, projetados especificamente para raciocínio avançado e fluxos de trabalho agentivos.