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An enterprise-ready AMD MI355X guide covering AI inference, LLM training, memory scaling, performance trade-offs, and deployment strategies.
LLM Model Architecture Explained: Transformers to MoE Read More »
Artificial intelligence tools are evolving rapidly, but the real productivity gains don’t come from using one The real power of these tools comes from using them together. Google NotebookLM specializes in structured knowledge synthesis, helping users analyze curated sources, generate summaries, and clarify complex material. LM Studio offers a private local workspace for running open-weight
Build a Powerful AI Research Pipeline with LM Studio and NotebookLM Read More »
Recommendation systems are the invisible engines that can personalize our social media, OTTs and e-commerce. Whether you are scrolling through Netflix for a new show or browsing Amazon for a gadget, these algorithms are working behind the scenes to predict something for you. One of the most effective ways to do this is by looking
I Built a Smart Movie Recommender with Collaborative Filtering Read More »
On Thursday, Google announced that “commercially motivated” actors have attempted to clone knowledge from its Gemini AI chatbot by simply prompting it. One adversarial session reportedly prompted the model more than 100,000 times across various non-English languages, collecting responses ostensibly to train a cheaper copycat. Google published the findings in what amounts to a quarterly
Attackers prompted Gemini over 100,000 times while trying to clone it, Google says Read More »
Swarm architecture brings together specialized AI agents that collaborate to solve complex data problems. Inspired by natural swarms, it pairs a Data Analyst agent for processing with a Visualization agent for chart creation, coordinated to deliver clearer and more efficient insights. This collaborative design mirrors teamwork, where each agent focuses on its strength to improve
Guide to Build a Data Analysis & Visualization Agent Using Swarm Architecture Read More »
Anthropic has been buzzing as of late. It recently caused a stock market meltdown with its release of the Claude Cowork tool that tanked the stocks of major SaaS providers across the world. And now they’re about to revolutionize reasoning models with their latest release, Claude Opus 4.6, which they’re claiming as their best coding
My Honest Review of Claude Opus 4.6: Is It Worth the Hype? Read More »
AI agents are no longer just answering questions. They read code, deploy apps, run workflows, move money, search the web, and remember what happened last week. MCP servers make that possible by connecting models to real systems. MCP replaces brittle APIs with structured, permission-aware access to tools like GitHub, Stripe, Notion, databases, and web search.
Top 10 Must-Know MCP Servers for AI Builders in 2026 Read More »
Imagine building a full Android app that generates AI questions, runs on a real backend, and uses a database without writing a single line of code. Claude Code, Anthropic’s terminal-based assistant, makes it possible to ship a working product from one clear prompt. This tutorial shows how to create an AI Study Assistant that ingests
Build an AI Study Assistant with Claude Code + Android Studio Read More »
Large language models like ChatGPT, Claude are made to follow user instructions. But following user instructions indiscriminately creates a serious weakness. Attackers can slip in hidden commands to manipulate how these systems behave, a technique called prompt injection, much like SQL injection in databases. This can lead to harmful or misleading outputs if not handled
Prompt Injection Attack: What They Are and How to Prevent Them Read More »
LLMs aren’t limited to AI and related fields! They’re powering almost every tech, and thereby is one of the most asked about topics in interviews. This makes it essential to have a surface level familiarity of the technology. This article is designed to mirror how LLMs show up in real interviews. We’ll start from first
