Understanding the Mixture of Experts (MoE) Architecture: Introduction to MoE Mixture of Experts (MoE) is a neural network architecture that consists of multiple sub-networks (called "experts") and a gating mechanism that routes each input to the most appropriate expert. In essence, an MoE model is like an ensemble of specialists: each expert network is trained…
The rise of AI-powered autonomy is redefining industries, economies, and daily life. With advancements in Artificial Intelligence (AI), Machine Learning (ML), Edge Computing, Robotics, and 5G, we are witnessing a shift where machines operate independently, analyze real-time data, and make decisions with minimal human intervention, from self-driving vehicles to AI-powered factories, autonomous systems are bringing…
In the current fast-paced, highly competitive business world, customer success is the central focus of every business strategy. Organizations are always on the lookout for creative means to improve customer experiences and optimize operations. One of the most influential platforms to attain these objectives is Salesforce, a premier customer relationship management (CRM) platform. Salesforce offers…
What is LLM? LLM is a type of artificial intelligence algorithm that uses neural network techniques to understand human language or text using self-supervised learning techniques. LLM is purely based on deep learning Methodologies. Deep Learning Deep learning is changing how machines understand things, learn and interact with complex data. Deep learning uses neural…
What is Edge Computing? Edge computing is a decentralized computing paradigm that brings data processing closer to the source of data generation rather than relying solely on centralized cloud computing. This approach reduces latency, saves bandwidth, and enhances real-time decision-making by processing data at or near the edge of the network—such as IoT devices, sensors,…
The New Era of AI Agents: How They’re Changing the Game “An agent is anything that can be viewed as perceiving its environment through sensors and acting upon that environment through actuators.” - Stuart Russell & Peter Norvig From their textbook Artificial Intelligence: A Modern Approach (3rd Edition) Artificial Intelligence (AI) has evolved far beyond simple…
Definition Predictive analytics is the branch of advanced analytics that utilizes thealgorithms, historical data and machine learning to identify trends and to predict what will happen in the future. It enables organizations to become proactive,forward-looking, anticipating data-based outcomes and behaviors rather than hunching or assumptions. Analytics, which use statistical models and forecasting techniques to understand…
Definition Prescriptive Analytics is the data analytics area which focuses on finding the best course of action in a scenario given the data available. Specifically,prescriptive analytics factors information about possible situations or scenarios,available resources, past performance, and current performance, and suggests a course of action or strategy. Its aim is to find the best solution…
Definition Descriptive Analytics is the field of statistics that focus mainly on gathering and summarizing raw data that is easily interpretable by humans. They are the analytics that describe the past. They are very useful because it allows us to learn from past behaviors and understand how they might influence future outcomes.Analytics, which use data…
Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. Unlike traditional systems, Hadoop enables multiple types of analytic workloads to run on the same data at same time, at massive scale on industry standard hardware. It's at the center of an ecosystem of big data technologies that are primarily…
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