LLMs & Models Articles
Browse 579 articles about LLMs & Models.

What Is AGI? Why Demis Hassabis, Sam Altman, and Yann LeCun All Disagree
AGI means different things to different experts. Here's how Demis Hassabis, Sam Altman, and Yann LeCun define it—and why the debate matters for AI builders.

Claude Opus 4.8 Effort Levels Explained: Low, Medium, High, Max, and Ultra Code
Claude Opus 4.8 introduces five effort levels that change how deeply the model reasons. Learn which level to use for each type of task.

What Is AGI? Why Experts Still Disagree on Whether We're There
Demis Hassabis says we're nowhere near AGI. Marc Andreessen says it's already here. Learn what AGI actually means and why the debate matters for builders.

What Is Claude Mythos? Anthropic's Next Model Class Above Opus
Claude Mythos is Anthropic's upcoming model tier above Opus, currently in limited cybersecurity preview. Learn what we know and when it's coming.

What Is Claude Opus 4.8? Anthropic's Most Honest Agentic Model Yet
Claude Opus 4.8 brings sharper judgment, improved honesty, and dynamic workflows for long-running tasks. Here's what changed and how to use it.

What Is Jagged Intelligence? Why AI Is Superhuman at Some Tasks and Terrible at Others
Jagged intelligence describes how AI models excel at some tasks while failing unexpectedly at others. Learn what this means for deploying AI agents safely.

Running Local AI on AMD: ROCm, Ollama, and LM Studio Performance in 2026
AMD's ROCm platform now supports PyTorch, Ollama, LM Studio, and ComfyUI out of the box. Learn what's possible with a 32GB Radeon GPU for local AI workloads.

What Is the DeepSuite Benchmark? Why It's the Most Accurate AI Coding Test Yet
DeepSuite tests AI coding agents the way developers actually use them—short prompts, complex solutions. Learn why it beats SWEBench and what the results show.

What Is ROCm? AMD's Open Compute Platform for AI and Deep Learning
ROCm is AMD's answer to CUDA—and it's finally production-ready. Learn how ROCm enables LLM inference, fine-tuning, and image generation on AMD GPUs.

Local AI vs Cloud AI in 2026: When to Run Models on Your Own Hardware
Open-weight models are 3–6 months behind frontier. Learn when local AI makes sense for cost, privacy, and agentic workloads vs paying for cloud APIs.

How to Run Open-Weight AI Models Locally with Ollama and LM Studio
Run Qwen 3.6, Gemma, and DeepSeek locally with Ollama and LM Studio. This guide covers setup, quantization, and performance on consumer hardware.

What Is Gemini 3.5 Flash? Google's Fastest Frontier Model for Agentic Workflows
Gemini 3.5 Flash delivers pro-level intelligence at 2-3x the speed of competitors. Learn its pricing, benchmarks, and best use cases for AI agents.

Products Over Models: Why the AI Harness Matters More Than Benchmarks in 2026
The AI industry is shifting from model benchmarks to product applications. Here's why the harness—not the model—is now the key differentiator for AI tools.

What Is Google Gemini 3.5 Flash? Pro-Level Performance at Flash Speed and Cost
Gemini 3.5 Flash delivers frontier intelligence 4x faster than competing models, with major gains in coding and agentic tasks. Here's what you need to know.

Gemini 3.5 Flash vs Gemini 3.1 Pro: Is the Flash Model Good Enough?
Gemini 3.5 Flash generates 2x more tokens than Pro but costs less. Compare both models on coding, reasoning, and agentic workflows.

Token Efficiency vs Model Intelligence: Why Smaller Vision Models Win for Agents
A 1.3B vision model using 43x fewer tokens than a reasoning model can outperform it in agent loops. Here's why token efficiency matters.

What Is Gemini 3.5 Flash? Google's Pro-Level Performance at Flash Cost
Gemini 3.5 Flash delivers near-Gemini 3.1 Pro performance at a fraction of the cost. Here's what changed and when to use it.

How to Add Vision Capabilities to a Local AI Agent Without Blowing Your VRAM
Running a small LLM locally but need vision? Learn how to pair a lightweight vision model like MiniCPM-V with your text agent to handle screenshots and PDFs.

What Is MiniCPM-V 4.6? A 1.3B Vision Model Built for Local AI Agents
MiniCPM-V 4.6 is a 1.3B parameter vision model that beats larger models on visual reasoning benchmarks. Learn why it's ideal for local agentic vision tasks.

What Is Gemini 3.2 Flash? Google's Cheaper, Faster Alternative to GPT 5.5
Gemini 3.2 Flash reportedly delivers 92% of GPT 5.5's coding capability at 15-20x lower cost. Here's what it means for AI workflow builders.