AI
Hardware Needed to Run a Local LLM
A comprehensive guide to understanding the hardware requirements and considerations for running Large Language Models locally on your own infrastructure.
NRGsoft Team 28 October 2025
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AI
Multimodal RAG at Enterprise Scale: Lessons from Processing 200,000+ Documents
Real-world insights from building RAG systems for pharma, finance, and aerospace industries—handling tables, Excel files, and visual content at scale.
NRGsoft Team 28 October 2025
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How Large Language Models Are Transforming Business Operations
Discover how AI and LLMs are revolutionizing business processes, from customer service to data analysis, and learn practical implementation strategies.
NRGsoft Team 27 October 2025
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AWS vs Azure: Choosing the Right Cloud Platform for Your Business
A comprehensive comparison of AWS and Azure to help you make an informed decision about your cloud infrastructure strategy in 2025.
NRGsoft Team 26 October 2025
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Implementing ChatGPT in Customer Service: A Practical Guide
Step-by-step guide to integrating ChatGPT into your customer service operations, with real-world examples, best practices, and ROI considerations.
NRGsoft Team 25 October 2025
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Fine-Tuning LLMs: Strategic Decisions and Trade-offs
Understanding when fine-tuning Large Language Models makes sense, exploring parameter-efficient methods, and navigating the cost-benefit analysis for production deployments.
NRGsoft Team 15 October 2025
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Prompt Engineering: The Critical Discipline for Production LLM Systems
Strategic approaches to designing, testing, and optimizing prompts for reliable, cost-effective Large Language Model applications in enterprise environments.
NRGsoft Team 15 October 2025
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Computer Vision for Enterprise: From Surveillance to Strategic Advantage
Understanding how computer vision technology transforms business operations across industries, from quality control to customer analytics and autonomous systems.
NRGsoft Team 28 September 2025
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Vector Databases for AI Applications: A Strategic Guide
Understanding vector databases for AI and RAG applications, from choosing the right solution to optimization strategies and production deployment considerations.
NRGsoft Team 18 September 2025
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Model Context Protocol: Standardizing LLM-to-Tool Communication
Understanding the Model Context Protocol (MCP) and its role in creating standardized, maintainable interfaces between Large Language Models and external tools.
NRGsoft Team 12 September 2025
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Multimodal AI: Beyond Single-Domain Intelligence
Understanding how AI systems combining vision, language, and audio capabilities are transforming enterprise applications through richer understanding and more natural interactions.
NRGsoft Team 5 September 2025
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AI Security and Governance: Managing Risk in Enterprise LLM Deployments
Strategic framework for implementing security controls, governance policies, and risk management practices for Large Language Model systems in regulated environments.
NRGsoft Team 19 August 2025
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Building Production-Ready LLM APIs: Architecture and Considerations
A strategic guide to designing and deploying robust LLM-powered APIs, covering architecture patterns, performance optimization, cost management, and reliability at scale.
NRGsoft Team 10 August 2025
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Explainable AI: Building Trust and Compliance in Enterprise Machine Learning
How explainability techniques like SHAP and LIME enable organizations to understand, validate, and trust AI decisions in regulated environments requiring transparency.
NRGsoft Team 5 August 2025
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LLM Evaluation: Building Reliable AI Applications
Understanding the challenges and strategies for evaluating Large Language Models in production, from establishing quality metrics to detecting regressions and ensuring reliability at scale.
NRGsoft Team 22 July 2025
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MLOps for LLM Systems: Managing the Lifecycle of Production AI
Strategic approaches to deploying, monitoring, and maintaining Large Language Model systems in production environments with MLOps best practices.
NRGsoft Team 22 July 2025
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Edge AI Deployment: Bringing Intelligence to Where Data Lives
Strategic approaches to deploying AI models at the edge for real-time processing, reduced latency, and privacy-preserving intelligence in IoT and autonomous systems.
NRGsoft Team 8 July 2025
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Agentic AI: Beyond Simple Prompts to Autonomous Systems
Understanding the architecture, capabilities, and strategic considerations for building autonomous AI agents that can reason, plan, and act independently.
NRGsoft Team 28 June 2025
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Building Production-Ready RAG Systems: What You Need to Know
A strategic guide to understanding Retrieval-Augmented Generation architecture, framework choices, and the key considerations for deploying RAG systems at scale.
NRGsoft Team 15 June 2025
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AI Model Optimization: Reducing Costs and Latency Without Sacrificing Intelligence
Strategic approaches to model quantization, pruning, and optimization that enable deploying capable AI systems on resource-constrained infrastructure while controlling costs.
NRGsoft Team 1 June 2025
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