Many in the industry think the winners of the AI model market have already been decided: Big Tech will own it (Google, Meta, Microsoft, a bit of Amazon) along with their model makers of choice, ...
SQL will continue to serve as the lingua franca but the world of data will speak in graphs, vectors, LLMs too– and relational databases will stay but not in the same chair. Here’s why?
Google Threat Intelligence Group (GTIG) has published a new report warning about AI model extraction/distillation attacks, in ...
Gensonix AI DB efficiency combined with the power of Meta's Llama 3B model and AMD's Radeon GPU architecture makes LLMs ...
2d
Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
XDA Developers on MSN
I started using my local LLM with Obsidian and should have done it sooner
Obsidian is already great, but my local LLM makes it better ...
As demand for private AI infrastructure accelerates, LLM.co introduces a streamlined hub for discovering and deploying open-source language ...
AI coding tools have enabled a flood of bad code that threatens to overwhelm many projects. Building new features is easier ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...
Overview: PostgreSQL leads in developer popularity in 2026 and offers advanced features for complex workloads.MySQL remains ...
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