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51 articles • Insights • Tutorials • Emerging tech
AGENTIC AI LEARNING

Loop Engineering

Loop engineering is the shift from prompting AI coding agents turn-by-turn to designing the system that prompts them for you. Here's how the new meta works.

EQEvnek Quest·10 min read·10 June 2026
AI MODELS LEARNING

Gemini 3.1 Pro Revolutionizes AI: Exploring Google’s Latest Breakthrough in Complex Problem Solving

Google just released Gemini 3.1 Pro — and the numbers speak for themselves. Scoring 77.1% on ARC-AGI-2, more than double the reasoning performance of its predecessor, this isn't an incremental update. It's a generational jump. From building live aerospace dashboards to translating literary themes into functional web design, 3.1 Pro is built for the kind of problems where a simple answer isn't enough.

EQEvnek Quest·3 min read·19 February 2026
AI MODELS LEARNING

The $6 Trillion Opportunity: Deconstructing the 5 Layers of the AI Stack

The AI economy is shifting from "Model-centric" to "Workflow-centric." While the hardware and foundational layers capture headlines, the real $6 trillion frontier lies in the Application Layer. By targeting the cognitive labor of the service economy, Applied AI is moving beyond software—it is selling outcomes. Backed by Stanford HAI 2024 data, this analysis deconstructs the 5-layer stack to show how verticalized AI will capture the greatest economic surplus of our generation.

EQEvnek Quest·4 min read·22 January 2026
AGENTIC AI LEARNING

Beyond "Vibe Checks": The Architect’s Guide to Metric-Driven LLM Evaluation

Moving from subjective "vibe checks" to rigorous engineering, this guide explores the technical architecture of LLM evaluation. Learn to quantify RAG performance using metrics like Contextual Precision, Faithfulness, and Answer Relevancy. Featuring expert insights from SuperAnnotate and Confident AI, we provide programmatic frameworks and code snippets to move your GenAI pipeline from experimental to production-ready. Stop guessing and start measuring with a metric-driven approach.

EQEvnek Quest·3 min read·19 January 2026
AI MODELS LEARNING

When AI Forgets: Understanding and Fighting Context Rot in Large Language Models

As generative AI models grow their context windows, a hidden problem emerges: more information often leads to worse answers. Known as context rot, this phenomenon reveals a U-shaped performance curve where accuracy peaks at moderate context sizes, then degrades as signal is buried in noise. Bigger memory doesn’t guarantee better reasoning—effective context does.

EQEvnek Quest·4 min read·22 December 2025
AGENTIC AI LEARNING

The Frankenstein AI: How to Stop Building Monstrously Complex RAG Pipelines and Start Using Science

Is your AI chatbot a sleek machine or a Frankenstein monster? Too many RAG pipelines are built on "vibes," stitching together complex features without proof they actually work. It’s time to replace the guesswork with science. Learn how to forge a "Golden Dataset," deploy LLM-as-a-Judge metrics, and ruthlessly prune your bloated architecture. Stop engineering monsters and start building lean, accurate systems backed by hard data.

EQEvnek Quest·4 min read·22 December 2025
AGENTIC AI LEARNING

Beyond Tool Calling: Why AI Agents Should Write Code to Speak with MCP

raditional JSON tool calling is fragile. "Code Mode" changes the game: convert MCP tools to TypeScript APIs and let AI agents write executable code. It’s faster, handles complex logic, and uses secure sandboxes. Get the full code demo here.

EQEvnek Quest·5 min read·4 December 2025
AGENTIC AI LEARNING

The Efficiency Gap: Why JSON Might Be Bloating Your LLM Costs

Is JSON bloating your LLM costs? Discover TOON (Token-Oriented Object Notation), the high-efficiency alternative designed specifically for Generative AI. By decoupling schema from data, TOON can slash token usage by nearly 50% compared to standard JSON. Perfect for RAG pipelines, lowering API latency, and maximizing context windows. Check out our head-to-head code benchmark to see exactly how much syntax overhead you can eliminate today.

EQEvnek Quest·3 min read·26 November 2025
AI LEARNING LEARNING

Nano Banana: The AI Image Editor That’s Stirring a Creative Revolution

Nano Banana brings precision, speed, and coherence to AI image editing like never before. Its power lies in natural-language edits—one-shot, context-aware, and visually consistent. Though still experimental, platforms like LMArena and FluxProWeb offer rare glimpses. For now, creators and AI watchers alike are eagerly following every update and sharing discoveries as they emerge.

EQEvnek Quest·3 min read·24 August 2025
AGENTIC AI LEARNING

GPT-5: The New Apex of Language Models

GPT-5 marks a transformative leap in AI, delivering unmatched reasoning, speed, and scalability. With up to 400K context tokens, adaptive routing between fast and deep-thinking models, and improved developer controls, it redefines what’s possible in large language model applications. From enterprise-scale analytics to intelligent agents, GPT-5 is engineered for context-rich, reasoning-heavy solutions of the future.

EQEvnek Quest·5 min read·10 August 2025
AI MODELS LEARNING

Unlocking the Secrets of OpenAI's Model Specifications and Defaults

OpenAI’s Model Spec, first released in May 2024, sets out a three-tier framework for guiding how AI assistants like ChatGPT should behave.Published in May 2024, the Spec introduced a three-layer hierarchy: Objectives, Rules, and Defaults .

EQEvnek Quest·2 min read·28 July 2025
AI LEARNING LEARNING

NLWeb by Microsoft: Where Every Website Becomes a Chatbot

Imagine talking to a website like you would to a smart assistant—Microsoft’s NLWeb makes that a reality. With this groundbreaking open-source tool, the web just got a lot more conversational.

EQEvnek Quest·2 min read·27 May 2025
AI LEARNING LEARNING

AI in Healthcare

Introduction: Credit : Google Image Artificial Intelligence (AI) has transcended science fiction to become an integral part of modern...

EQEvnek Quest·4 min read·4 April 2025
AI MODELS LEARNING

New Prompt Technique - Buffer of Thoughts

Large language models (LLMs) are excelling at reasoning tasks, and researchers are finding that clever prompts can push their performance...

EQEvnek Quest·4 min read·9 June 2024
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AI MODELS LEARNING

Sales & Marketing Super Powered by Gen AI

The impact of large language models (LLMs) such as GPT-4 on marketing and sales is profound and multifaceted. This article will explore...

EQEvnek Quest·17 min read·11 January 2024
AGENTIC AI LEARNING

Introduction to LangChain

Introduction LangChain is an open-source framework that makes it easy to build applications using large language models (LLMs). It was...

EQEvnek Quest·7 min read·28 December 2023
AGENTIC AI LEARNING

Unveiling the Power of Google AI Gemini

Google Gemini is a set of large language models (LLMs) that leverage training techniques from AlphaGo, such as tree search and...

EQEvnek Quest·2 min read·26 December 2023
AI LEARNING LEARNING

Prompt Engineering

What is Prompt Engineering? Prompt engineering is a process of creating a set of prompts, or questions, that are used to guide the user...

EQEvnek Quest·7 min read·8 December 2023
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