Core AI

Large Language Models

Deep dives into GPT, Claude, Gemini, Llama and the transformers powering modern AI

51,480
lessons
Skills in this topic
View full skill map →
LLM Foundations
beginner
Explain how transformers generate text
Prompt Craft
beginner
Write zero-shot and few-shot prompts
LLM Engineering
intermediate
Call LLM APIs with function/tool use
Fine-tuning LLMs
advanced
Prepare fine-tuning datasets
Multimodal LLMs
advanced
Use GPT-4V / Claude Vision for image understanding
All Reads (29,983) Articles (12748)Blog Posts (5671)Tutorials (2450)Research Papers (8239)News (875)
Serverless AI in a Browser Tab: Java WebAssembly + Local WebGPU LLMs
Dev.to · vishalmysore 🧠 Large Language Models ⚡ AI Lesson 1w ago
Serverless AI in a Browser Tab: Java WebAssembly + Local WebGPU LLMs
A deep technical whitepaper on building a zero-infrastructure RAG architecture where the...
Simon Willison's Blog 🧠 Large Language Models ⚡ AI Lesson 1w ago
What's new in Claude Sonnet 5
What's new in Claude Sonnet 5 Claude Sonnet 5 came out this morning . I always head straight for the "what's new" developer docs because they tend to have more
Don't Let Your LLM Wing It: Building a Knowledge Base That Actually Knows Things
Dev.to · hugolesta 🧠 Large Language Models ⚡ AI Lesson 1w ago
Don't Let Your LLM Wing It: Building a Knowledge Base That Actually Knows Things
A field guide to provisioning a Bedrock Knowledge Base on Aurora pgvector with Terraform, then keeping it in sync with a GitHub Actions workflow that ships docs
Building LSTMs with PyTorch and Lightning AI Part 7: Resuming Training with Checkpoints
Dev.to · Rijul Rajesh 🧠 Large Language Models ⚡ AI Lesson 1w ago
Building LSTMs with PyTorch and Lightning AI Part 7: Resuming Training with Checkpoints
In the previous article, we used TensorBoard to analyze the training process. Based on the graphs, we...
Debugging Benchmark: DeepSeek V4 Pro vs MiMo V2.5 Pro
Dev.to · Stanislav 🧠 Large Language Models ⚡ AI Lesson 1w ago
Debugging Benchmark: DeepSeek V4 Pro vs MiMo V2.5 Pro
A real-world comparison of two LLMs on a genuine race condition bug from GitHub ...
How I'm re-discovering computer science with LLM revolution
Dev.to · popiol 🧠 Large Language Models ⚡ AI Lesson 1w ago
How I'm re-discovering computer science with LLM revolution
I've been in this business for years and the best (or worst?) thing is that once I gain enough...
Running Chinese LLMs at Scale: DeepSeek, Qwen, Kimi & GLM
Dev.to · fiercedash 🧠 Large Language Models ⚡ AI Lesson 1w ago
Running Chinese LLMs at Scale: DeepSeek, Qwen, Kimi & GLM
Running Chinese LLMs at Scale: DeepSeek, Qwen, Kimi & GLM I've been running production workloads...
mcpgen: Turn any OpenAPI spec into an MCP server in seconds
Dev.to · 56 Prince Pal 🧠 Large Language Models ⚡ AI Lesson 1w ago
mcpgen: Turn any OpenAPI spec into an MCP server in seconds
I got tired of manually writing MCP tools for every REST endpoint I wanted to expose to an LLM. So I...
LLMs didn't kill feature engineering. Engineers did.
Dev.to · Jignesh Maheshwari 🧠 Large Language Models ⚡ AI Lesson 1w ago
LLMs didn't kill feature engineering. Engineers did.
Somewhere around when LLMs started eating every roadmap, a quiet belief took over a lot of teams. If...
Feeding the LLM the Whole Thread: Prompt Chaining for Contextual Replies
Dev.to · HelperX 🧠 Large Language Models ⚡ AI Lesson 1w ago
Feeding the LLM the Whole Thread: Prompt Chaining for Contextual Replies
I wrote earlier about our persona engine — how we make one LLM sound like many different people. But...
Redaction is Not Enough: When an LLM can still Infer the PII You Stripped Out
Dev.to · Trevor 🧠 Large Language Models ⚡ AI Lesson 1w ago
Redaction is Not Enough: When an LLM can still Infer the PII You Stripped Out
A reader left a sharp question on my last post about redacting PII before sending prompts to an LLM....
Redaction is Not Enough: When an LLM can still Infer the PII You Stripped Out
Dev.to · Trevor 🧠 Large Language Models ⚡ AI Lesson 1w ago
Redaction is Not Enough: When an LLM can still Infer the PII You Stripped Out
A reader left a sharp question on my last post about redacting PII before sending prompts to an LLM....
Why Press-Release Citations Decay in AI Grounding (and What We Measure Instead)
Dev.to · Jakub 🧠 Large Language Models ⚡ AI Lesson 1w ago
Why Press-Release Citations Decay in AI Grounding (and What We Measure Instead)
We run a portfolio of products at Inithouse. One of them, Be Recommended, tracks how AI engines cite...
Maybe Chain-of-Thought Isn't the Trick. Maybe Specification Is.
Dev.to · Ryan Brinn 🧠 Large Language Models ⚡ AI Lesson 1w ago
Maybe Chain-of-Thought Isn't the Trick. Maybe Specification Is.
I want to think through something out loud, and I'd genuinely love to know if this lands for anyone...
How LLMs Now Monitor and Cut Their Own Token Spend
Dev.to · Ross Peili 🧠 Large Language Models ⚡ AI Lesson 1w ago
How LLMs Now Monitor and Cut Their Own Token Spend
You have seen this loop before. An agent starts a “simple” task, say scrape listings, refactor a...
RAG for Code: Why Chunking by Function Beats Chunking by Lines
Dev.to · Pavel Espitia 🧠 Large Language Models ⚡ AI Lesson 1w ago
RAG for Code: Why Chunking by Function Beats Chunking by Lines
I built a retrieval system over a codebase so an LLM could answer questions about it, and my first...
The Future Of AI Is Local And Open
Dev.to · Paige Bailey 🧠 Large Language Models ⚡ AI Lesson 1w ago
The Future Of AI Is Local And Open
There’s a specific moment that happens at every single hackathon. It’s usually around 2 or 3 a.m.,...
I Ran My Freelance Work Through 4 Chinese LLMs — Here's the Damage
Dev.to · purecast 🧠 Large Language Models ⚡ AI Lesson 1w ago
I Ran My Freelance Work Through 4 Chinese LLMs — Here's the Damage
I Ran My Freelance Work Through 4 Chinese LLMs — Here's the Damage Last month I made a decision that...
Frontier LLMs Get 2 of 3 Tax Returns Wrong - Stop Letting Them Decide
Dev.to · Webmaster Ramos 🧠 Large Language Models ⚡ AI Lesson 1w ago
Frontier LLMs Get 2 of 3 Tax Returns Wrong - Stop Letting Them Decide
Everyone is wiring LLMs into checkout flows right now. I want to make the unpopular case that for the...
The prompt is the cheap part. The context is the product.
Dev.to · Simple Memo 🧠 Large Language Models ⚡ AI Lesson 1w ago
The prompt is the cheap part. The context is the product.
Suppose the model forgot you completely between every message. No memory, no history, no idea who you...
I stopped trusting generic LLMs for horticulture — so I built a grounded assistant on ~500 scientific articles
Dev.to · Kantemir Satibalov 🧠 Large Language Models ⚡ AI Lesson 1w ago
I stopped trusting generic LLMs for horticulture — so I built a grounded assistant on ~500 scientific articles
Last year I kept seeing the same pattern in agtech and “AI assistant” demos: a chatbot wrapped around...
We built Nebula: GraphRAG that runs in your browser tab, not someone else's cloud
Dev.to · Nguyen Thien 🧠 Large Language Models ⚡ AI Lesson 1w ago
We built Nebula: GraphRAG that runs in your browser tab, not someone else's cloud
Most AI note apps ship your notes to a cloud vector database and a hosted model, then ask you to...
100k lines of TypeScript to Rust via LLM is not a port. It's a mess with a demo.
Dev.to · Aditya Agarwal 🧠 Large Language Models ⚡ AI Lesson 1w ago
100k lines of TypeScript to Rust via LLM is not a port. It's a mess with a demo.
A person boasted that they converted 100k lines of TypeScript to Rust in a month with the help of an...
The one-page "memory doc" that makes any AI remember you
Dev.to · BangBoo01 🧠 Large Language Models ⚡ AI Lesson 1w ago
The one-page "memory doc" that makes any AI remember you
Every time I open a new chat with ChatGPT, it forgets I exist. Not in a dramatic way. It's polite....
NVIDIA Nemotron 3 Ultra & GLM-5.2: The Open Model Flood Is Here (June 2026)
Dev.to · DoremonAI 🧠 Large Language Models ⚡ AI Lesson 1w ago
NVIDIA Nemotron 3 Ultra & GLM-5.2: The Open Model Flood Is Here (June 2026)
Two major open-weight models just dropped: NVIDIA's 550B Nemotron 3 Ultra and Z.AI's MIT-licensed GLM-5.2. Plus Google's Gemini 3.5 Flash gains computer use. He
What is LangChain? Building an AI Agent in 10 Lines of Code
Dev.to · Dufrence 🧠 Large Language Models ⚡ AI Lesson 1w ago
What is LangChain? Building an AI Agent in 10 Lines of Code
What is LangChain? It's the glue that connects large language models with tools — you write a few...
Beyaz Saray'dan OpenAI Kararı: GPT-5.6 Hükümet Denetimiyle Sunulacak
Dev.to · İsmail Hakkı Eren 🧠 Large Language Models ⚡ AI Lesson 1w ago
Beyaz Saray'dan OpenAI Kararı: GPT-5.6 Hükümet Denetimiyle Sunulacak
Yapay Zeka Dünyasında Yeni Dönem: Federal Denetim ve Güvenlik Odaklı Dağıtım Yapay zeka...
How to Learn Prompt Engineering — From Crafting One AI to Leading an AI Team
Dev.to · Cx330 🧠 Large Language Models ⚡ AI Lesson 1w ago
How to Learn Prompt Engineering — From Crafting One AI to Leading an AI Team
How to learn Prompt Engineering? Five core techniques — be clear and specific, assign a role,...
The Data That Built the Brain: What Actually Went Into Training GPT-4 (and What Was Left Out)
Dev.to · VelocityAI 🧠 Large Language Models ⚡ AI Lesson 1w ago
The Data That Built the Brain: What Actually Went Into Training GPT-4 (and What Was Left Out)
You ask an AI a question. It answers. It sounds smart. It sounds like it has read everything. It has....
Amazon Bedrock Deployment Guide: From Environment Setup to Production Operations
Dev.to · Andy Tan 🧠 Large Language Models ⚡ AI Lesson 1w ago
Amazon Bedrock Deployment Guide: From Environment Setup to Production Operations
Amazon Bedrock, AWS's fully managed service for foundation models, makes it much easier to build and...
That 200 OK From Your LLM Gateway Probably Means Nothing
Dev.to · correctover 🧠 Large Language Models ⚡ AI Lesson 1w ago
That 200 OK From Your LLM Gateway Probably Means Nothing
Every AI gateway on the market — LiteLLM, Portkey, OpenRouter, Olla — checks the same things: HTTP...
I Built an AI Pipeline for 10,000 Daily Listings. Here's What Broke at Scale.
Dev.to · Abdul Rehman 🧠 Large Language Models ⚡ AI Lesson 1w ago
I Built an AI Pipeline for 10,000 Daily Listings. Here's What Broke at Scale.
Lessons from running an LLM scoring pipeline in production: cost management, function calling architecture, and error handling.
Stop browsing Hugging Face like it's 2015
Dev.to · Renato Marinho 🧠 Large Language Models ⚡ AI Lesson 1w ago
Stop browsing Hugging Face like it's 2015
Stop manual browsing and use the Hugging Face MCP to audit models, datasets, and spaces directly from your AI agent.
Bitmask-Based LLM Security Firewall with reskSecure — Block Jailbreaks at Token Level
Dev.to · RESK 🧠 Large Language Models ⚡ AI Lesson 1w ago
Bitmask-Based LLM Security Firewall with reskSecure — Block Jailbreaks at Token Level
Block LLM jailbreaks and prompt injections at the token level with reskSecure — a bitmask-based security firewall for AI applications. Includes code example and
prima.cpp local llm benchmark: 15% Faster Than llama.cpp
Dev.to · Umair Bilal 🧠 Large Language Models ⚡ AI Lesson 1w ago
prima.cpp local llm benchmark: 15% Faster Than llama.cpp
See a direct prima.cpp local llm benchmark against llama.cpp on RTX 4090 and M2 Max. I found prima.cpp 15%+ faster for 70B models.
I gave an AI a memory of my interview history — here's what I learned building on Cognee
Dev.to · Vignan Nallani 🧠 Large Language Models ⚡ AI Lesson 1w ago
I gave an AI a memory of my interview history — here's what I learned building on Cognee
I gave an AI a memory of my interview history — here's what I learned building on Cognee Every time...
Stop Building OpenAI Wrappers: How to Build Defensible AI Apps
Dev.to · Rahul Agarwal 🧠 Large Language Models ⚡ AI Lesson 1w ago
Stop Building OpenAI Wrappers: How to Build Defensible AI Apps
Let's be honest: 90% of the "AI Startups" launched last year were just thin UI wrappers over an LLM...
Graceful Degradation Strategies for LLM Rate Limits
Dev.to · kapil Maheshwari 🧠 Large Language Models ⚡ AI Lesson 1w ago
Graceful Degradation Strategies for LLM Rate Limits
Explore strategies for graceful degradation when your LLM provider rate-limits or goes down, ensuring reliability and cost efficiency.
GLM 5.2 Has a 1M Token Context Window. Here's What That Does to Your API Bill.
Dev.to · Emmanuel Ekunsumi 🧠 Large Language Models ⚡ AI Lesson 1w ago
GLM 5.2 Has a 1M Token Context Window. Here's What That Does to Your API Bill.
Z.ai dropped GLM 5.2 on June 13, 2026, and the benchmarks are hard to ignore. It's a 744B-parameter...
Free from-scratch deep learning notes: tensors, attention, and a tiny GPT
Dev.to · Alper GÖÇEN 🧠 Large Language Models ⚡ AI Lesson 1w ago
Free from-scratch deep learning notes: tensors, attention, and a tiny GPT
I'm an AI PhD student, and I have started writing a free public notebook on how AI models work under...
Context Warp Drive: deterministic folding for long-running LLM agents
Dev.to · Jonah T 🧠 Large Language Models ⚡ AI Lesson 1w ago
Context Warp Drive: deterministic folding for long-running LLM agents
Context Warp Drive is an open-source TypeScript library for keeping long-running LLM agents under the...
GPT-5.6 Sol: Red Team Implications of OpenAI's Token-Efficient Cybersecurity AI
Dev.to · Satyam Rastogi 🧠 Large Language Models ⚡ AI Lesson 1w ago
GPT-5.6 Sol: Red Team Implications of OpenAI's Token-Efficient Cybersecurity AI
OpenAI's GPT-5.6 Sol achieves competitive security AI performance with one-third token consumption. Red teams analyze offensive implications: restrict
Simon Willison's Blog 🧠 Large Language Models ⚡ AI Lesson 1w ago
Ornith-1.0: Self-Scaffolding LLMs for Agentic Coding
Ornith-1.0: Self-Scaffolding LLMs for Agentic Coding This is an interesting new open weights (MIT licensed) model, the first model release from DeepReinforce. [
The Temperature Paradox: Why Slightly Chaotic Models Often Outperform Perfectly Deterministic Ones
Dev.to · VelocityAI 🧠 Large Language Models ⚡ AI Lesson 1w ago
The Temperature Paradox: Why Slightly Chaotic Models Often Outperform Perfectly Deterministic Ones
You set the temperature to zero. The AI becomes a robot. It gives the same answer every time. It is...
OpenAI Assistants Monitoring: Track Every Run, Cost, and Failure in Real Time
Dev.to · Babar Hayat 🧠 Large Language Models ⚡ AI Lesson 1w ago
OpenAI Assistants Monitoring: Track Every Run, Cost, and Failure in Real Time
OpenAI Assistants API is the easiest way to deploy persistent GPT-4 agents. The monitoring gap is...
The Model Does Not Need Memory. The Situation Does.
Dev.to · marcosomma 🧠 Large Language Models ⚡ AI Lesson 1w ago
The Model Does Not Need Memory. The Situation Does.
I think I was asking the wrong question. For a while, the question was simple: does memory make...
How I Cut LLM API Costs by 60% With 2 Lines of Code
Dev.to · Emmanuel Ekunsumi 🧠 Large Language Models ⚡ AI Lesson 1w ago
How I Cut LLM API Costs by 60% With 2 Lines of Code
Our OpenAI bill tripled in 60 days. User growth was up 40%. Revenue was up. But the API bill was...
GPT-5.6 changed the AI integration boundary, not just the model menu
Dev.to · Shruti Saraswat 🧠 Large Language Models ⚡ AI Lesson 1w ago
GPT-5.6 changed the AI integration boundary, not just the model menu
OpenAI’s GPT-5.6 preview gives developers more than a stronger model. It changes how SaaS teams should think about routing, fallback, safety checks, caching, an