Decoding Small Language Models (SLMs): The Compact Powerhouses of AI

As if LLMs weren’t enough, SLM models have started showing their prowess. Welcome to the fascinating world of Small Language Models (SLMs), where size does not limit capability! In the AI universe, where giants like GPT-3 and GPT-4 have been making waves, SLMs are emerging as efficient alternatives, redefining what we thought was possible in Natural Language Processing (NLP). But what exactly are SLMs, and how do they differ from their larger counterparts? Let’s dive in! SLMs vs. LLMs: David and Goliath of AI Imagine you are in a library. Large Language Models (LLMs) are like having access to every […]

Knowing Google Gemini

While technology continually reshapes our world, Google’s latest innovation, Gemini, emerges as a beacon of the AI revolution. This blog explores the intricacies of Gemini, examining its capabilities, performance, and the pivotal role of security in its architecture. The Genesis of Google Gemini Multimodal AI at its Core Google’s Gemini is not just another AI model; it’s the product of vast collaborative efforts, marking a significant milestone in multimodal AI development. As a multimodal model, Gemini seamlessly processes diverse data types, including text, code, audio, images, and videos. This ability positions it beyond its predecessors, such as LaMDA and PaLM […]

Steering through the World of LLMs: Selecting and Fine-Tuning the Perfect Model with Security in Mind

Large Language Models (LLMs) have now become the household terms and need no special introduction. They have emerged as pivotal tools. Their applications span various industries, transforming how we engage with technology. However, choosing the right LLM and customizing it for specific needs, especially within resource constraints, is a complex task. This article aims to clarify this process, focusing on the selection, fine-tuning, and essential security considerations of LLMs, enhanced with real-world examples. Please note, the process of LLM customization includes but does not limit to what follows next. Understanding the Landscape of Open Source LLMs Open-source LLMs like Hugging […]