Multimodal Large Language Models (LLMs) are AI systems designed to process and generate information across multiple types of input (or modalities), such as text, images, audio, video, and even sensor…
In AI, RAG (Retrieval-Augmented Generation) and Sequential (sequential models) refer to two different paradigms for processing and generating information: Retrieval-Augmented Generation (RAG):Definition: RAG is a hybrid AI model that combines information…
Data is the essential fuel that powers AI systems, enabling them to learn, adapt, and perform a wide range of tasks. Whether it’s large datasets used for training deep learning…
The core reason we use AI for automation is to enhance efficiency and productivity by performing tasks that typically require human intelligence more accurately, quickly, and at scale.1. Efficiency and…
Fine-tuning AI models for peak performance offers several significant benefits that enhance the effectiveness, efficiency, and adaptability of AI systems. Here are the key advantages:1. Improved Accuracy and PerformanceTask-Specific Optimization:…
Utilizing Small Languages Models over Large language Models depends on various factors such as the Specific task, Computational Resources Available and Delivered Performance.Examples of Some SLM's are:DistilBERTOrca 2Phi 2BERT Mini,…