Category: Google Gemini

Understanding the basic infrastructure parameters for Agentic AI Apps

Agentic AI applications are seeing a huge rise in adoption across the enterprise community, signaling a fundamental shift in how businesses will interact with customers in the future. To truly deliver on this promise, production-grade agentic workflows must excel across four common pillars - 1) Security, 2) Fastness, 3) Accuracy, 4) Reliability. Achieving this level … Continue reading Understanding the basic infrastructure parameters for Agentic AI Apps →

Optimizing AI with Small Language Models (SLMs) for On-Device Applications

In the fast-moving world of AI and language models, it's easy to think that bigger is always better. However, smaller language models (SLMs) can often offer a more strategic and effective entry point for businesses and enterprises that are just starting to explore this groundbreaking technology. From cost-efficiency to enhanced customization and easy deployment, SLMs … Continue reading Optimizing AI with Small Language Models (SLMs) for On-Device Applications →

Google AI Studio and Gemini API

Google offers a powerful Gemini model for applications to use for generative AI purposes. Developers and AI enthusiasts can use Google AI Studio to understand Google's AI offering's different capabilities. At the same time, enterprises can directly use the Gemini API to integrate with the application. 1. Intro to Google AI Studio:: Google AI Studio … Continue reading Google AI Studio and Gemini API →