Articles about AI Research in Technology & AI
For years, we thought longer AI answers were better. New research from Google proves the opposite is often true, and introduces a new metric that boosts accuracy while cutting inference costs by nearly 50%.
Tired of AI agents that forget everything? We'll show you how to build a smart, self-organizing memory system that turns conversations into lasting knowledge, making your AI genuinely useful over the long haul.
OpenAI has officially launched a team to bring its AI into the lab. But are we on the verge of AI-powered breakthroughs, or is this just Silicon Valley hype? Let's break down what's really going on.
Ever wondered how to make a large language model less... weird? This guide breaks down how to align an LLM with human preferences using DPO and QLoRA, all on a single GPU.
A new AI startup called Axiom just did something incredible: its AI found solutions to four long-standing math problems that have stumped humans for years. This isn't just about faster calculations; it's a huge leap in AI's reasoning abilities.
OpenAI is making a huge play for science, and chatbots are suddenly asking for your ID. Let's break down what's really going on in the world of AI and technology this week.
A new AI model from Nous Research, NousCoder-14B, is showing impressive results on olympiad-level coding challenges. Let's break down how it uses reinforcement learning to think like a competitive programmer.
AI agents often struggle with memory, forgetting key details or getting lost in context. New research from Alibaba and Wuhan University introduces AgeMem, a framework that teaches LLMs to manage their own memory.
OpenAI is asking freelance contractors to upload projects from their past jobs. It's a bold strategy to teach AI how to handle real office work, but it comes with a major catch you need to know about.
Forget human training. A new kind of AI is learning by getting curious and asking its own questions. This could be a massive leap forward, but what does it really mean for us?
Ever wonder why training massive AI models can be so difficult? DeepSeek AI found a major source of instability and fixed it by dusting off a clever matrix normalization algorithm from 1967. Here's how it works.
We've all hit the context window limit with LLMs. A new approach called Recursive Language Models (RLMs) flips the script, treating massive prompts not as a wall of text to read, but as an environment to explore with code. Here’s how it works and why it’s a huge deal.