Artifical Intelligence is getting interesting day by day as it continues to evolve rapidly, and Google’s Gemma family of models represents an exciting step forward in lightweight, efficient, and developer-friendly AI. With the release of Gemma 4, developers and researchers gain access to improved performance, better reasoning, and streamlined deployment options. Google - Gemma 4 Today, we’ll walk through what Gemma 4 is, how to set it up, and how to test it using Google AI St

Believe it or not AI is here to stay. In 2025, we saw a huge spike of Agentic AI Application and AI Agents. Now the question arise is how secure this AI Agents and Applications are? I was reading a research paper by Santiago Díaz, Christoph Kern, Kara Olive from Google in which they presented Google’s Approach for Secure AI Agents. In the Introduction, Google did presented and shared the potential and risks associated with the AI Agents and did mentioned the need for Agent Se

Google Launched its most capable model starting in December 2023. On 13 December Gemini API was made accessible to developers and businesses to build on top of Gemini. Today, we will see how we can get access to the free Gemini Pro API Key and also will make a curl request to API using an API key. To get the Gemini Pro API key go to https://aistudio.google.com/ this will take you to Google AI Studio. In Google AI Studio, on the side, you will see something similar like below

Gen AI is evolving daily, and big tech giants like Microsoft [OpenAI], Amazon, and Google are in a race to build the best AI solution for users and customers. To stay ahead in the race Google launched Vertex AI – a platform that provides everything to build Gen AI solutions. By everything what do I and Google mean? Businesses and developers would be able to use 100s of foundation models, fine-tune models with business data, and use various AI Solutions. The key features of Ve