LIME Explained: Why Your ML Model Said That
What is LIME?Continue reading on Artificial Intelligence in Plain English »
Artificial Intelligence, Explainable AI, llm, Machine Learning, software-engineering
llm
Artificial Intelligence, llm, Machine Learning, prompt-engineering, transformers
Why Your Prompt Works: The Transformer Mechanics Behind Every AI System
Same information, different position — completely different LLM results. Here’s the Transformer mechanics behind it — and what it means.
ai-agent, Artificial Intelligence, llm, Machine Learning, software-engineering
Mastering AI Agent Design Patterns: An Engineer’s Blueprint for Production-Grade Agentic Systems
Master AI agent design patterns for 2026. Build scalable, production-ready multi-agent systems with real Python code.Continue reading on Medium »
ai, Artificial Intelligence, deep-learning, llm, Machine Learning
Your AI Is Not Thinking. It’s Multiplying Numbers. Let Me Show You Exactly How.
Everyone’s talking about AI like it’s magic. I work with it daily. It’s not. Here’s what’s actually happening inside.Continue reading on Medium »
Agentic AI, ai, genai, llm, word-embeddings
Word2Vec Explained: The Moment Words Became Relations
How models first learned meaning from context — and why that changed everythingIn the first post, we built the base layer:Text → Tokens → Numbers → (lots of math) → Tokens → TextIn the second post, we stayed with the deeper question:Once words become n…
Agentic AI, ai-agent, Artificial Intelligence, llm, Security
Google DeepMind Just Mapped Every Way the Web Can Hijack Your AI Agent
The first systematic taxonomy of “Agent Traps” is here, and if you’re building agentic systems, you should be losing sleep.Continue reading on Towards AI »
agentic-rag, Artificial Intelligence, genai, llm, platform-engineering
Production RAG: From Anti-Patterns to Platform Engineering
RAG is a distributed system . It becomes clear when moving beyond demos into production.It consists of independent services such as ingestion, retrieval, inference, orchestration, and observability. Each component introduces its own latency, scaling ch…
Artificial Intelligence, llm, Machine Learning, model-compression, vector-search
TurboQuant Explained: Extreme AI Compression for Faster, Cheaper LLM Inference and Vector Search
If you’ve been following the “long-context” wave in AI, you’ve probably heard the same story: bigger context windows feel magical… until…Continue reading on Towards AI »
Artificial Intelligence, ChatGPT, gpt-5, llm, openai
OpenAI’s “Spud” Model: The Quiet Project That Could Redefine AI
The next big leap in AI might not be called GPT-6.
It might not even have a name yet.Continue reading on GoPenAI »
large-language-models, llm, statelessness
If LLMs Have No Memory, How Do They Remember Anything?
A technical but approachable guide to how large language models handle memory — from the math behind statelessness to the engineering behind systems that make AI feel like it actually knows you.An LLM is just a math function. A stateless one.Let’s star…