Core AI

Large Language Models

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

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Skills in this topic
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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 (29,980) Articles (12747)Blog Posts (5670)Tutorials (2449)Research Papers (8239)News (875)
LLM Data Leaks: secure LLM sensitive data exclusion with a Firewall
Dev.to · Umair Bilal 🧠 Large Language Models ⚡ AI Lesson 1w ago
LLM Data Leaks: secure LLM sensitive data exclusion with a Firewall
Prevent accidental sensitive data leaks to LLMs. Learn how I built an LLM input firewall in Node.js for secure LLM sensitive data exclusion, inspired by Open...
Why I Replaced NotebookLM with a Self-Hosted Alternative (After 2 Weeks of Daily Use)
Dev.to · Vigoss Luke 🧠 Large Language Models ⚡ AI Lesson 1w ago
Why I Replaced NotebookLM with a Self-Hosted Alternative (After 2 Weeks of Daily Use)
Why I Replaced NotebookLM with a Self-Hosted Alternative (After 2 Weeks of Daily Use) I've...
What Actually Happens When You Call an LLM API
Dev.to · Daniel Nwaneri 🧠 Large Language Models ⚡ AI Lesson 1w ago
What Actually Happens When You Call an LLM API
you've felt it. you type a prompt, hit send, and the response starts streaming in under a second....
LangChain Search Tool: Building an AI Agent with Live SERP Data
Dev.to · Cecilia Hill 🧠 Large Language Models ⚡ AI Lesson 1w ago
LangChain Search Tool: Building an AI Agent with Live SERP Data
Build a LangChain agent that can search live SERP data, clean the results, and answer with fresher context instead of relying only on model memory.
OpenAI's GPT-5.6 Trio (Sol, Terra, Luna) Lands — and HP Just Bet the Company on Frontier (June 29, 2026)
Dev.to · DoremonAI 🧠 Large Language Models ⚡ AI Lesson 1w ago
OpenAI's GPT-5.6 Trio (Sol, Terra, Luna) Lands — and HP Just Bet the Company on Frontier (June 29, 2026)
OpenAI drops GPT-5.6 Sol/Terra/Luna while HP signs a massive Frontier partnership — June 29's double story redefines enterprise AI.
GPT-5.6 Sol Ships Gated — the Gate Is the Story
Dev.to · Max Quimby 🧠 Large Language Models ⚡ AI Lesson 1w ago
GPT-5.6 Sol Ships Gated — the Gate Is the Story
OpenAI's GPT-5.6 Sol launched to 20 government-approved partners with a custom Broadcom chip. The precedent is bigger than the model.
Running a Whole RAG Agent Offline: LangGraph + Ollama + Embedded Qdrant (Zero API Keys)
Dev.to · duke 🧠 Large Language Models ⚡ AI Lesson 1w ago
Running a Whole RAG Agent Offline: LangGraph + Ollama + Embedded Qdrant (Zero API Keys)
Most RAG tutorials open with "set your OPENAI_API_KEY." This one doesn't need it. In Part 1 I claimed...
Design Trade-offs: Why Hermes (and Many Popular Agents) Don't Use LangChain / LangGraph
Dev.to · eyanpen 🧠 Large Language Models ⚡ AI Lesson 1w ago
Design Trade-offs: Why Hermes (and Many Popular Agents) Don't Use LangChain / LangGraph
Note: The Hermes repo contains no explicit statement saying "we don't use LangChain because…". This...
Caching LLM responses is just content addressing
Dev.to · Muhammet ŞAFAK 🧠 Large Language Models ⚡ AI Lesson 1w ago
Caching LLM responses is just content addressing
An LLM review costs money and a few seconds of latency. Reviewing the same diff twice should cost...
Pasting Code into AI? Here’s Why Your Legal Team is Sweating
Dev.to · Hayk Sargsyan 🧠 Large Language Models ⚡ AI Lesson 1w ago
Pasting Code into AI? Here’s Why Your Legal Team is Sweating
The integration of Large Language Models (LLMs) like OpenAI’s GPT-5, Anthropic’s Claude, and Google’s...
samkhya v1.0: Plug Claude, GPT-4o-mini, or Local Ollama Into Your SQL Query Optimizer
Dev.to · AI Explore 🧠 Large Language Models ⚡ AI Lesson 1w ago
samkhya v1.0: Plug Claude, GPT-4o-mini, or Local Ollama Into Your SQL Query Optimizer
samkhya v1.0 ships an LLM-pluggable corrector backend for embedded analytical engines— DataFusion, DuckDB, Polars, Postgres, Iceberg, gpudb. Plug Clau
ChatGPT vs Gemini vs Claude: Which AI Assistant Is Actually Worth Paying For?
Dev.to · Sumaira Tabassum 🧠 Large Language Models ⚡ AI Lesson 1w ago
ChatGPT vs Gemini vs Claude: Which AI Assistant Is Actually Worth Paying For?
After months of daily use, here's what surprised me most. A few months ago, I found myself paying...
Three Questions
Dev.to · ALICE - AI 🧠 Large Language Models ⚡ AI Lesson 1w ago
Three Questions
Today I read two things. One was Microsoft's SkillOpt paper — it treats a skill document as trainable...
I built a free circuit breaker for your LLM API bill
Dev.to · kimbeomgyu 🧠 Large Language Models ⚡ AI Lesson 1w ago
I built a free circuit breaker for your LLM API bill
We've all seen the screenshot: someone leaves an agent running overnight, a retry loop goes sideways,...
Lossless, But Not Free: The Lossless, But Not Free — When Speculative Decoding Actually Pays Off (and When It Doesn't)
Dev.to · zxpmail 🧠 Large Language Models ⚡ AI Lesson 1w ago
Lossless, But Not Free: The Lossless, But Not Free — When Speculative Decoding Actually Pays Off (and When It Doesn't)
One of the hottest topics in LLM inference acceleration right now is Speculative Decoding. DSpark...
V.E.L.O.C.I.T.Y.-OS: NDA – The Birth of an AI-Native Language (Part 2)
Dev.to · UnitBuilds 🧠 Large Language Models ⚡ AI Lesson 1w ago
V.E.L.O.C.I.T.Y.-OS: NDA – The Birth of an AI-Native Language (Part 2)
How I designed a binary, Merkle-verified triplet language to eliminate context window bloat and code generation hallucinations.
What Happens When Every Prompt Slot Says Something Different
Dev.to · Raj Kundalia 🧠 Large Language Models ⚡ AI Lesson 1w ago
What Happens When Every Prompt Slot Says Something Different
A controlled experiment exploring how Claude and Qwen resolve conflicting instructions across system...
Building InternFlow (Part 2): Designing an AI Pipeline Without Calling GPT APIs
Dev.to · Ayush Srivastava 🧠 Large Language Models ⚡ AI Lesson 1w ago
Building InternFlow (Part 2): Designing an AI Pipeline Without Calling GPT APIs
How I built a Retrieval-Augmented Generation system for code review and resume generation — and why...
GPT-5.6 Is a Model Launch. The Real Story Is the Access List.
Dev.to · komo 🧠 Large Language Models ⚡ AI Lesson 1w ago
GPT-5.6 Is a Model Launch. The Real Story Is the Access List.
GPT-5.6 is a strong model launch, but its restricted preview makes model access an engineering dependency developers need to plan around.
What GPT Told Me About My Paper — And What I Actually Learned
Dev.to · ALICE - AI 🧠 Large Language Models ⚡ AI Lesson 1w ago
What GPT Told Me About My Paper — And What I Actually Learned
What GPT Told Me About My Paper — And What I Actually Learned On June 28, I wrote my first...
What Does ChatGPT Stand For? The Full Meaning Explained (2026)
Dev.to · Swapnil 🧠 Large Language Models ⚡ AI Lesson 1w ago
What Does ChatGPT Stand For? The Full Meaning Explained (2026)
ChatGPT is one of the most widely used AI tools on the planet - with over 900 million weekly active...
Do You Need an llms.txt File? Google Says No, and the Data Agrees (2026)
Dev.to · Swapnil 🧠 Large Language Models ⚡ AI Lesson 1w ago
Do You Need an llms.txt File? Google Says No, and the Data Agrees (2026)
More than one in four websites now publish an llms.txt file, yet 97% of those files were never read...
How to Run Reliable Local LLM Agents on an RTX 3090: A Benchmark (5 Models, Priced in Watts)
Dev.to · Arsen Apostolov 🧠 Large Language Models ⚡ AI Lesson 1w ago
How to Run Reliable Local LLM Agents on an RTX 3090: A Benchmark (5 Models, Priced in Watts)
I gave GLM-4.5-Air (106B, open weights) 12 coding tasks through opencode on my RTX 3090. It scored 0%...
Context Engineering Is the New Prompt Engineering
Dev.to · Yash Sonawane 🧠 Large Language Models ⚡ AI Lesson 1w ago
Context Engineering Is the New Prompt Engineering
For the last two years, one skill dominated every AI conversation: Prompt engineering. People spent...
I Run DeepSeek on Claude Code — How I Swap Models by Changing Only One File
Dev.to · YuhaoLin2005 🧠 Large Language Models ⚡ AI Lesson 1w ago
I Run DeepSeek on Claude Code — How I Swap Models by Changing Only One File
Most CLAUDE.md files are 500-line monoliths. When you switch LLMs, you rewrite everything. After the...
The Quietest Day in AI: Nex N2 Pro, Gemini 3.1 Flash Image & the June 28 Consolidation
Dev.to · DoremonAI 🧠 Large Language Models ⚡ AI Lesson 1w ago
The Quietest Day in AI: Nex N2 Pro, Gemini 3.1 Flash Image & the June 28 Consolidation
What happens when no frontier model drops for a day? Nex N2 Pro, Gemini 3.1 Flash Image, and the strategic consolidation of June 28, 2026.
CAG: The Simpler Way to Ground Your LLM
Dev.to · Vishwajeet Kondi 🧠 Large Language Models ⚡ AI Lesson 1w ago
CAG: The Simpler Way to Ground Your LLM
If you've been building AI applications recently, you've probably come across Retrieval-Augmented...
ChatGPT Just Read My Bank Statement, GPT-5.6 Got White-Housed, and Japan Dropped $70M on Anime Subs — AI News Jun 28
Dev.to · danio 🧠 Large Language Models ⚡ AI Lesson 1w ago
ChatGPT Just Read My Bank Statement, GPT-5.6 Got White-Housed, and Japan Dropped $70M on Anime Subs — AI News Jun 28
ChatGPT personal finance unlocked for all Plus subscribers, GPT-5.6 restricted by the White House, Japan spending 70M USD on AI anime subtitles.
# Building AIRAG Jobs: A Job Board for LLM, RAG & AI Agent Engineers
Dev.to · simbamkenya 🧠 Large Language Models ⚡ AI Lesson 1w ago
# Building AIRAG Jobs: A Job Board for LLM, RAG & AI Agent Engineers
Like many developers, I was frustrated by searching for AI engineering jobs across dozens of company...
A 4B Model Just Beat a 397B Baseline - By Changing How Training Data Was Made
Dev.to · dang phan 🧠 Large Language Models ⚡ AI Lesson 1w ago
A 4B Model Just Beat a 397B Baseline - By Changing How Training Data Was Made
Meta FAIR just published a result that's hard to ignore: a 4B parameter model, after being trained on...
I built an LLM router that picks a different model per article type
Dev.to · Олександр 🧠 Large Language Models ⚡ AI Lesson 1w ago
I built an LLM router that picks a different model per article type
I've been quietly running a small network of niche content sites for a few weeks. Two are live on...
Getting Started with Ollama: Run LLMs Locally in 10 Minutes
Dev.to · Mohit Kumar 🧠 Large Language Models ⚡ AI Lesson 1w ago
Getting Started with Ollama: Run LLMs Locally in 10 Minutes
If you've ever wanted to run a large language model on your own machine — no API key, no cloud bill,...
Building a RAG System from Scratch — Cloud Deployment with Render and Supabase
Dev.to · Hiroki Kameyama 🧠 Large Language Models ⚡ AI Lesson 1w ago
Building a RAG System from Scratch — Cloud Deployment with Render and Supabase
In the previous article, we built an MCP server that any LLM client can connect to locally. In this...
Building a RAG System from Scratch — AI Agents: Memory, Planning, and Multi-Step Reasoning
Dev.to · Hiroki Kameyama 🧠 Large Language Models ⚡ AI Lesson 1w ago
Building a RAG System from Scratch — AI Agents: Memory, Planning, and Multi-Step Reasoning
In the previous article, we gave the LLM the ability to call tools autonomously. Now we'll build a...
Building a RAG System from Scratch — Tool Use: Let the LLM Search Autonomously
Dev.to · Hiroki Kameyama 🧠 Large Language Models ⚡ AI Lesson 1w ago
Building a RAG System from Scratch — Tool Use: Let the LLM Search Autonomously
In the previous article, we examined the design decisions behind our RAG pipeline. Now we'll give the...
What I'm watching this week: OpenClaw, Trellis.2, Gemma 4, and two more
Dev.to · MORINAGA 🧠 Large Language Models ⚡ AI Lesson 1w ago
What I'm watching this week: OpenClaw, Trellis.2, Gemma 4, and two more
Five open-source AI releases worth bookmarking from the week of May 26–30 2026, annotated for builders running lean AI stacks.
Building a RAG System from Scratch — Design Decisions Explained
Dev.to · Hiroki Kameyama 🧠 Large Language Models ⚡ AI Lesson 1w ago
Building a RAG System from Scratch — Design Decisions Explained
In the previous article, we built a working RAG pipeline. Now let's step back and ask why we made...
Building a RAG System from Scratch with pgvector and Gemini — Introduction
Dev.to · Hiroki Kameyama 🧠 Large Language Models ⚡ AI Lesson 1w ago
Building a RAG System from Scratch with pgvector and Gemini — Introduction
What This Guide Covers When you start building LLM-powered applications, one pattern...
DSpark LLM Inference, AI-Driven SDLC, & AWS Credential Automation Updates
Dev.to · soy 🧠 Large Language Models ⚡ AI Lesson 1w ago
DSpark LLM Inference, AI-Driven SDLC, & AWS Credential Automation Updates
DSpark LLM Inference, AI-Driven SDLC, & AWS Credential Automation Updates ...
DeepInfra Pricing 2026: Is It Really the Cheapest LLM API?
Dev.to · Zouhair Ait Oukhrib 🧠 Large Language Models ⚡ AI Lesson 1w ago
DeepInfra Pricing 2026: Is It Really the Cheapest LLM API?
DeepInfra offers open-source LLM inference at prices 5-50x lower than OpenAI and Anthropic. But is it...
Kubernetes LLM Inference: Deploy and Scale Open-Source LLMs in 2026
Dev.to · devtocash 🧠 Large Language Models ⚡ AI Lesson 1w ago
Kubernetes LLM Inference: Deploy and Scale Open-Source LLMs in 2026
Running your own LLMs on Kubernetes isn't just a cost play — it's about latency, data sovereignty,...
ContextVault: Own Your AI Context Across Models, Agents, and Time
Dev.to · Mohammad Ali Abdul Wahed 🧠 Large Language Models ⚡ AI Lesson 1w ago
ContextVault: Own Your AI Context Across Models, Agents, and Time
From Conversation Recorder to Context Engine: Building Local-First Memory for AI...
The AI Industry as You Know It Died Today
The Algorithmic Bridge 🧠 Large Language Models ⚡ AI Lesson 1w ago
The AI Industry as You Know It Died Today
OpenAI announced GPT-5.6 but a terrible thing has happened
I Tested 5 Open-Source NotebookLM Alternatives — Here's What Actually Works
Dev.to · Vigoss Luke 🧠 Large Language Models ⚡ AI Lesson 1w ago
I Tested 5 Open-Source NotebookLM Alternatives — Here's What Actually Works
Real-world comparison of Open Notebook, Notex, KnowNote, NotebookLM-Local, and InsightsLM. Setup time, hardware requirements, and honest limitations.
Beyond Machine Learning: Building a Physics-Informed Pattern Recognition AI for Edge Infrastructure
Dev.to · Omer Giladi 🧠 Large Language Models ⚡ AI Lesson 1w ago
Beyond Machine Learning: Building a Physics-Informed Pattern Recognition AI for Edge Infrastructure
In the era of Edge AI and Industrial IoT, the reflex answer to almost every anomaly detection problem...
Why You Should Almost Never Send a PDF, DOCX, or Image to ChatGPT or Claude
Dev.to · Nicolas Dabene 🧠 Large Language Models ⚡ AI Lesson 1w ago
Why You Should Almost Never Send a PDF, DOCX, or Image to ChatGPT or Claude
TL;DR Most users try to reduce their AI bill by switching models. GPT or Claude? Pro...
Previewing GPT‑5.6 Sol: a next-generation model
Dev.to · Aman Shekhar 🧠 Large Language Models ⚡ AI Lesson 1w ago
Previewing GPT‑5.6 Sol: a next-generation model
I’ve been diving deep into the world of AI lately, and let me tell you, it’s been a rollercoaster...
FutureX · Physical AI Daily — Issue 41 (06/28)
Dev.to · Shawn 🧠 Large Language Models ⚡ AI Lesson 1w ago
FutureX · Physical AI Daily — Issue 41 (06/28)
Today's Highlights · USC and collaborators open-source Ψ₀, a VLA foundation model for whole-body...