How to Use Al to Create 3D Printable Designs : No CAD Modeling Skills Needed

Use AI to make 3D printable models with a four-step flow using Nano Banana and Bamboo Studio for faster results. Design and ...

Why your LLM bill is exploding — and how semantic caching can cut it by 73%

Semantic caching is a practical pattern for LLM cost control that captures redundancy exact-match caching misses. The key ...
XDA Developers on MSN

Docker Model Runner makes running local LLMs easier than setting up a Minecraft server

On Docker Desktop, open Settings, go to AI, and enable Docker Model Runner. If you are on Windows with a supported NVIDIA GPU ...
InfoQ

Agentic Terminal - How Your Terminal Comes Alive with CLI Agents

In this article author Sachin Joglekar discusses the transformation of CLI terminals becoming agentic where developers can state goals while the AI agents plan, call tools, iterate, ask for approval ...

Dify Makes Self-Hosted LLM Development Simple : Swap Models, Add RAG & Launch Faster

Self-host Dify in Docker with at least 2 vCPUs and 4GB RAM, cut setup friction, and keep workflows controllable without deep ...

An Ode To Code, A Paean To AI: Digital Cabotage And Why Size Matters

We treat AI like a search engine, but massive context windows offer more. Stop hugging the coast. Why 2026 is the year to cut ...

‘Learn to code’ is dead. So what the heck should you actually teach your kids in the age of AI?

Holly Baxter asks tech experts what students should actually study, now ‘learn to code’ is dead — and gets some surprising ...

New framework simplifies the complex landscape of agentic AI

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.
eWeek

LangChain AI Vulnerability Exposes Millions of Apps

A critical LangChain AI vulnerability exposes millions of apps to theft and code injection, prompting urgent patching and ...
Microsoft

TENET: An Efficient Sparsity-Aware LUT-Centric Architecture for Ternary LLM Inference On Edge

Ternary quantization has emerged as a powerful technique for reducing both computational and memory footprint of large language models (LLM), enabling efficient real-time inference deployment without ...
IEEE

LLaVul: A Multimodal LLM for Interpretable Vulnerability Reasoning about Source Code

Abstract: Increasing complexity in software systems places a growing demand on reasoning tools that unlock vulnerabilities manifest in source code. Many current approaches focus on vulnerability ...