LLM articles
511 articles about LLM, newest first.
- Automate Your Business with Claude: AI Agents, Memory, and Skills Explained — Learn how to build autonomous AI agents using Claude’s memory file, skills, and plugins to automate real business tasks.
- Real-Time Interactive Video: The New Medium Redefining AI Content — Explore how real-time interactive video creates a new medium with instant feedback, infinite worlds, and edge-GPU demands, reshaping AI-driven content.
- Real‑Time Avatar Agents: How Teddy Roosevelt Stays on Camera for 16 Hours — Exploring real‑time video avatars, error accumulation, audio embeddings, and the hidden orchestration that powers expressive AI agents.
- How to Supercharge Your AI Coding Agent with Proven Skill Techniques — Learn the core AI skills that help coding agents plan, execute, and self‑improve, from low‑fidelity planning to skill pruning.
- Claw Patrol: Byte‑Level Guard for AI Agents with Full Production Access — Deno’s agents can control production systems, but they’re vulnerable to prompt injection. Claw Patrol is a low‑level proxy that inspects every byte, enforces HCL rules, and blocks dangerous actions before they reach databases.
- Why AI Is Redefining Code Reviews — Ankit Jain Explains — Ankit Jain reveals how AI now writes and reviews code, but teams are losing the human context that made reviews valuable.
- How to Combine Multiple AI Coding Agents in PyCharm Without Picking a ‘Best’ One — Learn a practical workflow for stitching together several AI coding assistants inside JetBrains PyCharm using the Agent Communication Protocol.
- Create AI Videos in One Chat with Claude Fable 5 and Higgsfield — Parker shows how to use Claude Fable 5 inside Higgsfield Supercomputer to plan, generate, and scale AI video batches, lock assets, manage credits, and keep branding consistent.
- How to Choose the AI Model That Actually Works for You — Discover the practical shortcut to picking the AI model that fits your workflow—comfort beats benchmark scores every time.
- DeepSeek Harness Explained: 10x Faster AI Agents — Discover how DeepSeek Harness supercharges LLM agents with a simple install and 10x performance boost. Perfect for developers and AI enthusiasts.
- Why AI Agents Fail When Learning Multiple Skills — A new study shows that stacking many skills on LLMs can cause surprising failures, revealing critical safety and reliability challenges for AI agents.
- AI-Powered Presentations: Build Slides with Claude & Replit Design — Create stunning AI presentations in minutes using Claude for outline and Replit Design for styling. Quick two-step workflow for developers.
- AutoDesign Explained: Evolving LLM Harnesses Without Touching Model Weights — Discover how AutoDesign rewrites LLM output pipelines by evolving the harness using human preferences—no model retraining needed.
- Why AI Agents Hallucinate: The Real Reason Behind Wrong Answers — LangChain explains why AI agents hallucinate — early wrong guesses cascade through the system — and why rigorous evaluation is a must.
- DeepSeek V4 Flash: The Open Model That Beats Bigger LLMs Locally — Explore DeepSeek V4 Flash’s local benchmark wins, pricing, hardware needs, and why it matters for affordable AI development.
- Why Running AI Agents Overnight Boosts Productivity (And How to Do It Right) — Learn how nightly AI agents automate tasks, boost productivity, and what developers need to set them up securely.
- Build an AI That Scores Leads and Writes Replies Automatically — Learn how to create an AI that ranks prospects and auto‑writes personalized replies, boosting outreach efficiency with LLMs and simple Python code.
- How a Tiny Blind Script Beats Frontier AI Models (And Why Metrics Lie) — A one‑megabyte script that never looks at the screen can match top AI models, but current benchmarks mask its fragility, costing millions in mis‑measured gaps.
- Browser Agents Need More Than AI Models — The Engineering Gap — Browser automation lags not because AI is weak but because the engineering harness is missing. Closing this gap unlocks reliable agents for real‑world tasks.
- How to Build a Browser Agent That Beats Captchas Using Chrome DevTools — Corey Gallon reveals how to create a trusted browser automation agent that mimics human clicks, bypasses captchas, and outperforms MCP servers.
- OpenWiki: Building Docs for AI Agents, Not Humans — OpenWiki is an open-source CLI that auto-generates documentation tailored for AI agents, improving their ability to understand and use codebases.
- App Llama: Turn Top App UI Designs into Code with AI — Discover how App Llama lets you copy UI patterns from leading apps and generate ready‑to‑use code via Claude or Codex.
- Control LLM Costs with LangSmith LLM Gateway – Simple Cost Management for Multi‑Model Workflows — Learn how LangSmith LLM Gateway lets you set and enforce cost limits across multiple models and agents, avoiding surprise AI spend spikes.
- Grok Bot Review: The First Ready‑to‑Use AI Agent You Can Install Today — Explore Grok Bot's consumer AI agents, $200 subscription value, shared‑computer security, and practical starter bots.
- Double DGX Spark Setup: Doubling AI Compute Power Explained — Explore how a dual NVIDIA DGX Spark configuration boosts AI compute, cuts training time, and reshapes LLM development.
- OvisOCR2 + RAG: How Open-Source OCR Is Supercharged by LLMs — Discover how OvisOCR2 merges OCR with Retrieval-Augmented Generation to extract and query text from any document end-to-end, all in open-source Python.
- AI Agents Auto‑Optimize Their Harnesses: How Opus 5, GPT‑5.6 Sol and KIMI K3 Work — AI agents now optimize other agents' harness structures, using tools like Opus 5, GPT‑5.6 Sol and KIMI K3 to boost performance.
- Build Production AI Agents in 10 Minutes: Meta Agents, AgentSpec & LangGraph — Learn how meta agents automate forward‑deployed engineering, generate safe AgentSpecs, and build observable LangGraph agents in just 10 minutes.
- AI Agents Are Taking Over Your To‑Do List – Here’s How — This week's AI roundup reveals specialized agents that automate tasks like scheduling, coding, and content creation, turning complex workflows into simple, agent‑driven experiences.
- Memory Harnesses: When Extra Context Actually Helps — Memory only matters when the task exceeds a model's context window; otherwise it just adds cost. A ranked recall ledger beats RAG and an oracle, and bad memory wastes tokens.