NeoSage

NeoSage is a comprehensive platform that delves into various aspects of Python programming, machine learning, data augmentation, and AI architecture. It explores the speed considerations in Python development, the significance of short-term memory in AI applications, and the challenges of enterprise RAG implementations. The platform covers topics like the importance of understanding data beyond static libraries, the role of generative AI in creating responsive chatbots, and the utilization of advanced technologies like Spark, EMR on EKS, and Airflow 3 in building secure knowledge bases. NeoSage provides insights into optimizing productivity, enhancing development processes, and leveraging cutting-edge tools for efficient programming and AI solutions.

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The Prompt Lifecycle Every AI Engineer Should Know

NeoSage

Why prompts break in production and what it takes to make them reliable.

The AI Engineer's Roadmap for 2026

NeoSage

It's been a while. I'm back with a clear plan for overwhelmed engineers. And the most important thing I've ever built for you.

The Illusion of Illusion... of AI?

NeoSage

A Builder's front row seat to the AI Reasoning Wars and what the Apple vs. Anthropic debate really means for those of us who build.

An Engineer's Guide to Fine-Tuning LLMs, Part 2: The Execution Playbook

NeoSage

A deep dive into the methods, fine-tuning pipeline, and operational risks of building specialised models.

An Engineer’s Guide to Fine-Tuning LLMs – Part 1

NeoSage

Understand where fine-tuning fits in the LLM lifecycle, how it compares to prompting or retrieval — and when it’s the right tool for the job.

The Dangerous Thing About AI Hype?

NeoSage

Before the Next Deep Dive, A Message for the Builders.

Inside DeepSeek-R1: A Masterclass in Incentivising Intelligence

NeoSage

What DeepSeek-R1 really teaches us: how to build models that learn, align, and evolve — without millions of labels.

The Engineer’s Guide to RAG

NeoSage

Make Your Dumb Model Useful: A Dead-Simple Guide to Retrieval-Augmented Generation

Why Every AI Builder Needs to Understand MCP

NeoSage

The Model Context Protocol is redefining how we build with AI. Here’s what it is, why it matters, and how to use it to build your own modular AI Second Brain.

How GPTs Learn to Be Helpful

NeoSage

The missing step between raw model and assistant—and why it matters for builders

How GPTs Are Born: Internet Feeding, Token by Token

NeoSage

Inside the system that turned web text into compressed intelligence—how GPTs learn, predict, and sometimes hallucinate.

Welcome to NeoSage

NeoSage

Where you dive deep into the what, why and how of AI. No fluff. No hype. Your weekly window into applied AI engineering.