LLMs & Models Articles
Browse 420 articles about LLMs & Models.
Mac Mini M4 Pro vs RTX 5090 vs DGX Spark: Which Local AI Hardware Is Right for You in 2026?
Mac mini M4 Pro at 64GB, RTX 5090 at 32GB GDDR7, or DGX Spark at 128GB unified memory — here's the honest hardware comparison for running AI models locally.
Microsoft-OpenAI Deal Restructured: 4 Changes That Immediately Put OpenAI Models on AWS
The AGI clause is gone, the license is non-exclusive, and within 24 hours OpenAI models were live on AWS Bedrock. Here's what changed and why it matters.
How to Use NVIDIA NIM Free Models in Your AI Workflows
NVIDIA NIM offers free models like GLM 4.7 via API. Learn how to connect them to Claude Code or any agentic tool to reduce costs without sacrificing capability.
How to Use Ollama to Run AI Models Locally for Claude Code Workflows
Ollama lets you run models like Gemma 4 locally on your own hardware—zero API costs. Learn how to connect it to Claude Code as a free backend alternative.
Open Brain: The Open-Source Memory System That Lets You Rebuild AI Indexes Without Losing Your Data
Open Brain separates raw data from embeddings in SQL — so when better embedding models arrive, you rebuild the index without touching source data.
How to Run Claude Code Against DeepSeek V4 for $3 a Session (Step-by-Step)
The free-cloud-code GitHub proxy lets you use the full Claude Code CLI with DeepSeek backends. Here's the exact setup to cut your AI coding costs.
Software 3.0 Explained: Why Karpathy Says the Context Window Is Your New RAM
In Karpathy's Software 3.0 paradigm, the context window is RAM, model weights are the CPU, and prompting is programming.
Vibe Coding vs Agentic Engineering — Karpathy's Framework for Knowing Which One You're Actually Doing
Karpathy draws a hard line: vibe coding raises the floor for beginners; agentic engineering raises the ceiling for professionals.
What Is Visual Primitives Reasoning? DeepSeek's Breakthrough for AI Agents
DeepSeek's 'thinking with visual primitives' lets AI agents point to objects during reasoning—solving the reference gap that breaks multimodal tasks.
How to Build an AI Orchestrator That Delegates to Cheaper Sub-Agent Models
Use a frontier model as orchestrator and cheaper open-weight models for heavy lifting. This hybrid approach cuts costs while maintaining output quality.
How to Run Claude Code with Cheaper Models: OpenRouter, NVIDIA NIM, and Ollama
Use Claude Code's interface with DeepSeek, Gemma, and other affordable models via proxy. Get 80–90% of Opus quality at 2–5% of the cost.
DeepSeek V4 vs Claude Opus 4.7: Which Model Is Right for Your AI Workflows?
Compare DeepSeek V4 and Claude Opus 4.7 on benchmarks, pricing, context length, and agentic use cases to find the best model for your stack.
Grok 5 and AGI: What xAI's Model Roadmap Means for AI Builders
xAI is training seven models simultaneously, scaling from 1T to 10T parameters. Here's what Elon Musk's Grok 5 AGI roadmap means for the AI landscape.
How to Use Ollama to Run AI Models Locally: A Beginner's Setup Guide
Ollama lets you run open-weight models like Gemma 4 and Llama locally on your own hardware. Here's how to get started with local AI inference in minutes.
Open-Weight AI Models Are Catching Up: What It Means for Enterprise Automation
Open-weight models like DeepSeek V4, Gemma 4, and Qwen are closing the gap with frontier models. Here's what that shift means for enterprise AI workflows.
What Is DeepSeek V4? Open-Weight AI at Frontier-Level Performance
DeepSeek V4 is an open-source model with a 1M token context window that rivals closed frontier models at a fraction of the cost. Here's what you need to know.
2026 AI Lab Power Rankings: 9-Category Scorecard Puts Google and OpenAI Tied — With One Big Surprise
Google and OpenAI tie at 74/100 on a 9-category framework. Anthropic leads enterprise at 14/15. Google scores only 3/10 on momentum. Full breakdown inside.
The 7-Model Local AI Portfolio: How to Route Tasks Across Local and Cloud Models for Maximum Performance
One model can't do everything. Here's the 7-model local portfolio — from fast local inference to frontier cloud fallback — and how to route between them.
Agent Harnesses Beat Model Upgrades: 5 Benchmarks That Prove the Harness Is Now the Product
GPT-5.5 jumped from 61.5% to 87.2% functionality just by switching harnesses. Here's what the data says about harness vs model choice.
How to Use AI Agents to Run LLM Benchmarks: A Custom Evaluation Framework
Instead of relying on public benchmarks, you can build custom AI evaluation systems using agents. Here's how one developer built a gravity-well benchmark.