Multimodal AI Multimodal AI can process different types of input—such as text, images, and audio and generate various types of output, not just in the same format as the input. In simple terms, Multimodal AI refers to machine learning models that can understand and combine information from multiple types of data, or modalities. Unlike traditional…
Agentic AI Agentic AI is a next-generation Agentic platform built for developers, capable of executing complex, goal-driven workflows autonomously by decomposing high-level objectives into adaptive multi-step plans. It dynamically selects the right tools and APIs for each subtask, leveraging chain-of-thought reasoning and a persistent memory of past interactions to guide every decision. After each action,…
Model Context Protocol (MCP) MCP is a relatively new protocol, introduced by Anthropic, that aims to simplify and standardize how large language models (LLMs) interact with external data. These days, it’s also the hottest topic on X and several AI-related forums. I want to start by emphasizing that the model context protocol is an open-source…
Agent Force in Salesforce revolutionizes how sales teams operate by integrating advanced AI technology to enhance productivity and customer engagement. By automating routine tasks and providing real-time insights, it empowers sales professionals to focus on building relationships and closing deals effectively. Introduction to Agent Force In the competitive landscape of sales, having the right tools…
This topic aligns well with AI and edge computing, as cybersecurity is a crucial aspect when deploying AI at the edge. The blog can explore how AI is transforming cybersecurity, detecting threats in real time, and safeguarding networks against sophisticated attacks. Autonomous AI agents are smart systems that can do tasks on their own without…
This topic aligns well with AI and edge computing, as cybersecurity is a crucial aspect when deploying AI at the edge. The blog can explore how AI is transforming cybersecurity, detecting threats in real time, and safeguarding networks against sophisticated attacks. As cyber threats grow in complexity, traditional security measures struggle to keep up. The…
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…
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