Guide Labs debuts a new kind of interpretable LLM

The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
XDA Developers on MSN

You're using your local LLM wrong if you're prompting it like a cloud LLM

Local models work best when you meet them halfway ...

LLM consistency and recommendation share: The new SEO KPI

Traditional SEO metrics miss recommendation-driven visibility. Learn how LCRS tracks brand presence across AI-powered search.

Awilix Unveils a GEO Playbook That Helps Brands Win Visibility in LLM Answers

AI SEO strategy designed for citations, recommendations, and “answer-first” discovery across ChatGPT, Gemini, Claude, ...
The Hacker News

How Exposed Endpoints Increase Risk Across LLM Infrastructure

Exposed endpoints quietly expand attack surfaces across LLM infrastructure. Learn why endpoint privilege management is important to AI security.
Tech Xplore on MSN

Anthropic's 'anonymous' interviews cracked with an LLM

In December, the artificial intelligence company Anthropic unveiled its newest tool, Interviewer, used in its initial ...

Automat-it Launches LLM Selection Optimizer to Slash Startup LLM Costs by up to 60%

AWS Premier Tier Partner leverages its AI Services Competency and expertise to help founders cut LLM costs using ...

How to vibe-code an SEO tool without losing control of your LLM

Vibe coding isn’t just prompting. Learn how to manage context windows, troubleshoot smarter, and build an AI Overview ...

Nvidia’s new technique cuts LLM reasoning costs by 8x without losing accuracy

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...