The Rise of Context Engineering in AI

From Prompt Crafting to System Design: The Rise of Context Engineering in AI  For years, the magic behind large language models (LLMs) like ChatGPT seemed to lie in prompt engineering—figuring out how to phrase a question or instruction just right. But as these systems have matured and grown more integrated into complex workflows, a deeper,…

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Enterprise resource planning (ERP)

Enterprise resource planning (ERP)  Enterprise resource planning (ERP) refers to a type of software that organizations use to manage day-to-day business activities such as accounting, procurement, project management, risk management and compliance, and supply chain operations. A complete ERP suite also includes enterprise performance management, software that helps plan, budget, predict, and report on an…

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Agentforce – Salesforce

Agentforce by Salesforce: The Future of Digital Labor is Here  In the age of AI transformation, Salesforce is redefining how work gets done with Agentforce — the world’s most complete enterprise agentic AI platform. No longer limited to simple chatbots or static automation, Agentforce unleashes the power of digital labor at scale, enabling AI agents…

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Multimodal AI

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…

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Agentic AI

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,…

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Model Context Protocol (MCP)

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…

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Maximizing Sales Efficiency: The Transformative Power of Agent Force in Salesforce

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…

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Autonomous AI Agent:

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…

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AI-Driven Cybersecurity: The Future of Threat Detection and Prevention

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…

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Mixture of Experts

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…

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