Tag: Ai and machine learning
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Boost search relevance with LLM search engine in 2025
Posted on October 25, 2025, Level beginner Resource Length long
In the world of search engines, relevance is everything. If your search engine can't deliver what a user is looking for, you've lost them. Here comes the revolution that's changing the search game entirely: the LLM search engine. By brandemicindia.
Tags business-and-emerging-tech cloud-and-infrastructure product-and-design miscellaneous frontend-and-mobile ai-and-machine-learning
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LLM VRAM Calculator guide 2025: Expert memory estimation tips
Posted on October 9, 2025, Level beginner Resource Length medium
The article explores the challenges surrounding accurate GPU memory estimation and presents a detailed analysis of popular LLM VRAM calculators. By providing practical tips and insights into these tools, developers can better plan their hardware investments and optimize model training and inference processes. By PropelRC Team.
Tags ai-and-machine-learning cloud-and-infrastructure leadership-and-career miscellaneous how-to software-engineering
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What is the Model Context Protocol (MCP) and how it works
Posted on October 7, 2025, Level beginner Resource Length long
The Model Context Protocol (MCP) standardizes how large language models connect with external data and tools, eliminating the need for custom integrations between different AI systems and services. Released by Anthropic, MCP enables developers to build context-aware applications without reinventing wheel for each model-to-system pairing, solving the "NxM problem" of redundant development and maintenance efforts across countless LLMs and tools. By descope.com.
Tags ai-and-machine-learning cloud-and-infrastructure security-and-privacy devops-and-ci-cd frontend-and-mobile product-and-design
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Defending against supply chain attacks like Chalk/Debug and the Shai-Hulud worm
Posted on October 5, 2025, Level beginner Resource Length short
Supply chain attacks targeting open-source packages pose a significant threat; proactive measures like dependency auditing and robust security tools are crucial for developers. By Chi Tran, Charlie Bacon, Nirali Desai.
Tags ai-and-machine-learning leadership-and-career security-and-privacy software-engineering cloud-and-infrastructure
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AIOps features drive cloud-managed revenue higher
Posted on October 3, 2025, Level beginner Resource Length short
AIOps is fueling significant growth in cloud-managed LAN and Campus NaaS markets, as enterprises prioritize reduced network management overhead and AI-focused initiatives. By Dell'Oro Group.
Tags ai-and-machine-learning leadership-and-career cloud-and-infrastructure
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Experts alarmed that AI is now producing functional viruses
Posted on October 1, 2025, Level beginner Resource Length short
AI's ability to design functional viruses presents a dual-edged sword – offering potential cures while simultaneously raising severe bioweaponization risks demanding proactive mitigation strategies. By Frank Landymore.
Tags ai-and-machine-learning security-and-privacy software-engineering business-and-emerging-tech data-and-analytics
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How are MIT entrepreneurs using AI?
Posted on September 28, 2025, Level beginner Resource Length long
The Martin Trust Center for MIT Entrepreneurship strives to teach students the craft of entrepreneurship. Over the last few years, no technology has changed that craft more than artificial intelligence. By Zach Winn.
Tags ai-and-machine-learning business-and-emerging-tech cloud-and-infrastructure leadership-and-career
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MCP + SQL: The secret weapon to connect AI to enterprise systems
Posted on August 31, 2025, Level intermediate Resource Length medium
This article addresses the common challenge of integrating AI with existing enterprise systems like Salesforce and SAP. The core concept is leveraging Large Language Models' (LLMs) proficiency in SQL alongside a standardized communication protocol called the Model Context Protocol (MCP). By Manish Patel.
Tags backend-development data-and-analytics ai-and-machine-learning devops-and-ci-cd
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Microservices for machine learning
Posted on August 7, 2025, Level intermediate Resource Length medium
Learn how author scaled my ML-powered finance tracker by breaking a monolithic design into microservices for better performance, maintainability, and deployment. Author's finance tracker project started with a simple idea: automatically categorize bank transactions using a text classification model. Author trained a basic logistic regression model on my transaction history, wrapped it in a Flask API, and called it done. By Ramya Boorugula.
Tags architecture-and-apis ai-and-machine-learning data-and-analytics cloud-and-infrastructure leadership-and-career
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How to evaluate graph retrieval in MCP agentic systems
Posted on August 5, 2025, Level intermediate Resource Length medium
Agentic systems, which leverage tools like knowledge graphs, often struggle with effectively retrieving relevant information from these graphs to inform their decision-making process, leading to inaccuracies and inefficiencies. This article addresses the need for robust evaluation of graph retrieval components within these systems. By Tomaz Bratanic.
Tags ai-and-machine-learning product-and-design frontend-and-mobile architecture-and-apis data-and-analytics
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Container registry SSL and K8s Kind
Posted on July 29, 2025, Level advanced Resource Length long
AI safety discussions predominantly focus on easy to conceptualise, highly salient risks including algorithm bias, hallucinations and disinformation. While these are crucial concerns, they overlook a fundamental truth we've learned from other high-stakes fields like aviation and healthcare: sometimes the most dangerous risks can hide in plain sight. By Manu Savani.
Tags ai-and-machine-learning leadership-and-career security-and-privacy software-engineering
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Building a real-time video AI service with Google Gemini
Posted on July 16, 2025, Level beginner Resource Length long
The article describes the development of a real-time video AI service for a major global service provider, leveraging Google Gemini's Multimodal Live API and Akka's SDK. The team successfully built, deployed, and scaled the service to handle thousands of transactions per second, far exceeding customer requirements. Key components included video ingestion, augmentation, and conversational storage, all deployed within a private Akka environment provisioned in a Google VPC in just 2 hours. By Johan Andrén.
Tags architecture-and-apis backend-development ai-and-machine-learning product-and-design cloud-and-infrastructure