AI’s Blindspot: The ‘Lost in the Middle’ Effect
Why AI forgets what it’s seen, and what we can do about itContinue reading on Towards AI »
ai, ChatGPT, claude-code, llm, prompt-engineering
ai
ai, Artificial Intelligence, health, healthcare, medical
AI in Healthcare: Innovations to Watch in 2026
A practical guide to building healthcare AI systems with Python — from medical image classification and clinical NLP to federated learning…Continue reading on Towards AI »
ai, Artificial Intelligence, large-language-models, llm, Machine Learning
How LLMs Actually Process Your Messages: A Clear Guide to Context Windows, Token Limits, and…
How LLMs Actually Process Your Messages: A Clear Guide to Context Windows, Token Limits, and Conversation FlowA beginner‑friendly explanation of how LLMs handle conversation history and why they sometimes “forget”.Generated by NotebookLM· 1. Introducti…
agentic-rag, ai, azure-devops, rags, terraform
How to Build a RAG system on Azure: From Local Dev to Production(Terraform, Python, NextJS)
👉 The will be provided at the end 🙂You’ve probably seen the demo. Someone drops a PDF into a chat interface, asks a question about page 47, and the AI answers accurately. It looks like magic. Then you try to build it yourself and spend three days debug…
ai, loss, Machine Learning, probability, statistics
From Probability to Loss – How MLE Builds Machine Learning: Part 2
A quick recap of where we left offIn Part 1, we followed a single thread of logic from start to finish.Read: From Probability to Loss — How MLE Builds Machine Learning: Part 1We started with a question: Given data, how do we find parameters that make s…
ai, generative-ai-tools, llm, multimodal-ai, social-robotics
Nadine, A Social Robot
Picture walking into your own room after a long day, where a companion not only knows your name but remembers you mentioned feeling overwhelmed just last week. It detects your frown, softens its tone in empathy, and leans in to listen. This is the real…
ai, AI research, attention, large-language-models, LLMs, Open Source, Reasoning Models
A Visual Guide to Attention Variants in Modern LLMs
From MHA and GQA to MLA, sparse attention, and hybrid architectures
Agentic AI, ai, ai-agent, langgraph
Building a Data Analysis Agent with LangGraph
An agentic AI example using Singapore Airbnb dataContinue reading on Towards AI »
ai, Artificial Intelligence, hands-on-tutorials, math, transformers
Hand Tracing Transformer Architecture like Good Old days
Alammar showed the shapes. Karpathy showed the code. Nobody has shown the actual arithmetic — every multiplication, every addition — by…Continue reading on Towards AI »
ai, ai-agent, aws, devops, infrastructure-as-code
How to Build an AI Agent That Actually Understands Your Cloud Infrastructure
Every AI agent tutorial starts the same way: connect an LLM to some tools, send a prompt, get a response. It works in the demo. It falls apart in production.The reason is simple. Most tutorials teach you how to call an AI API. They don’t teach you how …