AI Engineering16 min read
How We Actually Use AI to Ship Code
A practical look at how we direct coding agents, protect context, debug with evidence, test generated code, and keep human judgment in the loop.
Topic
Large Language Models
LLMs are the substrate behind most modern AI products. This page groups the articles that explain how they work, where they fail, and how builders should think about using them.
llmllmslarge language modellanguage modelsgptclaudegeminireasoningdistillationfine-tuning
AI Engineering29 min read
Context Engineering in 2026: Why We Stopped Compacting Our Agent's Context
We measured a dozen context management strategies on our production AI tutor, first on cached cloud models and then on local ones, and the field's default advice inverted: under modern prompt caching, keeping everything beat every summarization strategy on cost, latency, and memory at once.
AI Engineering10 min read
How I'd Learn AI Engineering in 2026
A practical path from coding-agent speed to the architecture, evaluation, and failure-analysis skills real AI engineering work requires.
AI Agents6 min read
Graph Engineering vs Loop Engineering: What Actually Changed
Why the loops-versus-graphs debate misses the point, what actually changed in agent orchestration, and which parts of your system should stay deterministic.
AI Agents4 min read
How to Build a Memory Your AI Agents Can Actually Reuse
The useful part is not giving agents more context. It is making your research, notes, and sources available again in the next session.
Large Language Models8 min read
90% Cheaper GPT APIs
Why a 90% API discount can hide model swaps and expose your credentials, code, and repository.
AI Agents11 min read
Loop Engineering Explained
A practical way to stop babysitting coding agents: design their context, tools, checks, budgets, and stop conditions.
Large Language Models15 min read
How Image Generation Actually Works
Diffusion sculpts noise. Autoregressive models predict visual tokens. Here is how both turn prompts into images.
AI Agents17 min read
Coding Changed Forever
What changed in AI coding, why generated code can feel faster, and where engineering judgment still matters.
Large Language Models18 min read
How Google Went From AI Joke to OpenAI’s Biggest Problem
How Gemini, DeepMind, AI Studio, and Google's distribution turned a mocked chatbot launch into an OpenAI threat.
Large Language Models16 min read
AI Distillation Explained: The Truth Behind the Biggest AI Controversy Right Now
How model distillation works, why AI labs accuse rivals of copying, and where the ownership argument gets messy.
AI Agents9 min read
Harness Engineering: The Missing Layer Behind AI Agents
Prompting tells an agent what to do. The harness controls its tools, permissions, tests, traces, and failures.
Large Language Models11 min read
Why RAG Is Not Training Your AI
RAG changes the context, not the model. Here is when retrieval helps, when it does not, and when to fine-tune.
Large Language Models9 min read
I Published 42 Shorts on AI Terms in 42 days
A free 42-video course for understanding model behavior, not collecting more prompt tricks.
AI Agents23 min read
How to Clean Up AI-Generated Drafts Without Sounding Like ChatGPT
How to Spot and Remove “AI Slop” from Your Writing
Large Language Models13 min read
Why AI Feels Intelligent (and Why That’s Misleading)
A clear explanation of what LLMs actually learn, why humans are different, and why AGI is not around the corner
AI Agents10 min read
Deep Research Agents: The Next Big Leap Beyond ChatGPT
OpenAI’s Deep Research Explained
Large Language Models5 min read
What actually changed with GPT-5
Reasoning, tools, costs and when mini beats it
AI Agents10 min read
2025: The Year of AI Agents
Million-Token Context? Cheap Tools? Perfect Time for Agents
Large Language Models14 min read
Prompt Engineering 101 for Business People
Tips for Crafting the Perfect Prompt for Each Model
AI Agents3 min read
How to Really Build on Top of LLMs
(full training session) (typical path for companies)
Large Language Models5 min read
Our developer-focused guide to LLMs, free!
A FREE 2-hour LLM Training (part 1)!
Large Language Models4 min read
Master LLMs in a Weekend
Full 10-hour video course now live, first 4-hour module free
Large Language Models14 min read
Inside ChatGPT: How AI Understands and Generates Language
How ChatGPT Actually Works - no math, no code
AI Agents5 min read
How FlashMLA Cuts KV Cache Memory to 6.7%
DeepSeek's Game-Changer for LLM Efficiency
Large Language Models10 min read
OpenAI's NEW Fine-Tuning Method Changes EVERYTHING
Reinforcement Fine-Tuning Explained
Large Language Models15 min read
The Era of "ChatGPT Programming"
An Introductory Python Programming with ChatGPT
Large Language Models3 min read
From Zero to LLM Hero: Announcing Our Python Primer for Generative AI
The Python Primer the Industry Needs is Here
Large Language Models10 min read
The Best 'LLM Developer' Courses in 2025
Become an expert LLM developer with these courses
Large Language Models7 min read
LLM Developers vs Software Developers vs ML Engineers: Key Differences
The Need for New Skills and Roles
Large Language Models7 min read
Research With AI Tools
Research and Writing: Why AI Tools Change the Workflow
Large Language Models8 min read
When NOT to Use Large Language Models
Save Money: When Simpler AI Beats LLMs
Large Language Models10 min read
Optimizing RAG: Should you Fine-Tune?
Optimizing Large Language Models for Retrieval-Augmented Generation
Large Language Models9 min read
Advanced Search Techniques: From Keywords to Graphs
Build a Smarter RAG System
Large Language Models7 min read
How to Improve Your RAG Pipeline with Fine-Tuned Embedding Models
Is fine-tuning an embedding model worth it?
Large Language Models6 min read
Long Context Models Explained: Do We Still Need RAG?
Retrieval-Augmented Generation vs. Long Context: A Comprehensive Comparison
Large Language Models8 min read
Don’t Fall for the Hype: How to Identify Truly Useful AI
What Makes AI Truly Useful?
Large Language Models8 min read
Indexing Methods for Vector Retrieval
Advanced Vector Indexing Techniques for RAG
Large Language Models3 min read
Releasing our 90+ lesson practical LLM Developer course!
The most practical and in-depth LLM Developer course out there
Large Language Models9 min read
Find the Best AI Model for Your Specific Task
No-code Custom LLM Evaluation Demo
Large Language Models6 min read
Top RAG Techniques You Should Know (Wang et al., 2024)
Building the Best RAG Stack: A Breakdown of Wang et al.'s Goldmine Study
Large Language Models6 min read
OpenAI's o1 Model: The Future of Reasoning AI? What Sets It Apart
How OpenAI's o1 Model Thinks Through Problems (And Why It's Slower)
Large Language Models3 min read
Large Language Models: More Than Autocomplete
LLMs are not just a trend
Large Language Models6 min read
Personalized Marketing with AI
The Real AI Tools Revolutionizing Modern Marketing Beyond ChatGPT
Llama 3.18 min read
Why Is Llama 3.1 So Important?
10 (+1) questions managers and executives should know about Llama 3.1
Large Language Models5 min read
The AI Engineer's toolkit
Our first book: Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG
Large Language Models6 min read
How LLMs Know When to Stop Talking?
Understand how LLMs like GPT-4 decide when they have effectively answered your question
Large Language Models10 min read
How will AI impact Healthcare?
What will the future of healthcare look like?
Large Language Models19 min read
AI Revolution in Journalism: What It Means for News
Will journalists be replaced by AI?
RLHF7 min read
ChatGPT: Understanding Its Power Through RLHF and RLAIF
ChatGPT Explained: How RLHF and RLAIF Shape AI
Large Language Models9 min read
2023: The best AI papers - A Review 🚀
A recap of the research progress and important news in AI in 2023!
Large Language Models58 min read
What's AI Episode 25: Jerry Liu. From RAG Strategies to Gemini's Impact in Tech
The What's AI podcast episode 25 with Jerry Liu: LlamaIndex CEO and co-founder
Large Language Models2 min read
Train, fine-tune, prompt, RAG... What should you do with your LLM?
Tips on what to do with your language model or API
Large Language Models8 min read
Start with Large Language Models (LLMs) in 2023 - Become an expert for free!
Learn LLMOps now. A complete guide. Free.
Large Language Models61 min read
Navigating the AI Landscape: Strategies from Paige Bailey, AI Product Leader
From Microsoft GitHub to Google DeepMind: Paige Bailey
Large Language Models7 min read
The Future of AI: 5 Incredible Ways GPT-4 is Shaping Our World
Discover 5 Game-Changing Applications of GPT-4 and Llama-2 – No Coding Required!
Large Language Models7 min read
Meet Our new AI Tutor!
How we Built an Open-Source RAG-based ChatGPT Web App
Large Language Models2 min read
Our AI Tutor is live!!!
Towards AI's AI tutor! Answer any AI/LLM questions with references!
Large Language Models10 min read
Mastering Prompts: How to Effectively Communicate with AI Language Models
Exploring the unique behaviors of different Large Language Models (LLMs) and mastering advanced prompting techniques!
Large Language Models7 min read
Adapting LLMs to do specific tasks!
Boost AI Performance with Fine-Tuning
Large Language Models5 min read
The First General-Purpose Visual and Language AI: LLaVA
LLaVA: Bridging the Gap Between Visual and Language AI with GPT-4
AI Agents7 min read
Mitigating AI Hallucinations: Exploring MetaGPT's Collaborative Framework
What is MetaGPT? LLM Agents Collaborating to Solve Complex Tasks
Large Language Models6 min read
Large Language Models Enter the 3D World!
An overview of the first 3D-LLM
Large Language Models67 min read
Building LLM Apps and the Challenges that come with it: An Interview with Jay Alammar
The What's AI podcast episode 16 with Jay Alammar.
Large Language Models58 min read
Luis Serrano: Exploring LLMs and the Journey of an AI Scientist
What's AI Podcast Episode 15 with Luis Serrano from Cohere
Large Language Models49 min read
From GPT3 to AGI: Insights from Felix Tao, CEO of Mindverse AI
Navigating the Changing Landscape of AI: Felix Tao's Journey from Researcher to CEO
Large Language Models7 min read
What is Prompt Injection? "Prompt Hacking" Explained
An introduction to prompt hacking and prompt injection.
Large Language Models1 min read
Copilot, ChatGPT and Copyrights
An interview with David Mertz, senior developer, data scientist, and author
Large Language Models5 min read
Your Dictionary for AI in 2023
Logan Kilpatrick's Definitions for all the words to know for OpenAI, GPT and AI in 2023
Large Language Models2 min read
An Interview with OpenAI's Developer Advocate Logan Kilpatrick
Building with LLMs, ChatGPT, and Working at OpenAI With Logan Kilpatrick (Dev Rel @OpenAI) - What's AI episode 11
Large Language Models6 min read
Meta's new Segment Anything Model Explained
SAM, promptable segmentation and the largest segmentation dataset to date!
Large Language Models2 min read
How to talk with AIs with Learn Prompting's creator
There is a new secret method, a new skill, that will make you 10 times more effective. It is AI's unique language: prompting. Here are a few key insights from my interview with Sa
Large Language Models9 min read
How good is GPT-4?
If you thought ChatGPT was good, wait before you try this one…
AI News and Analysis29 min read
The 2022 AI Recap - A Review 🚀
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code.
Large Language Models4 min read
Prompting Explained: How to talk to ChatGPT
What is a prompt engineer and how to improve at it…
Large Language Models4 min read
Meta's new model OPT is GPT-3's closest competitor! (and is open source)
An open-source model that is as powerful as GPT-3!
Large Language Models6 min read
New SOTA Image Captioning: ClipCap
Easily generate text descriptions for images using CLIP and GPT models!
Large Language Models7 min read
Biologically-inspired Neural Networks for Self-Driving Cars
Imitating the nematode's nervous system to process information efficiently, this new intelligent system is more robust, more interpretable, and faster to train than current deep neural network architectures with millions of parameters.
Large Language Models8 min read
Can GPT-3 Really Help You and Your Company?
If you have ever wondered either what's GPT-3 and how can it be useful to you or your company, this is the article you were looking for.