Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

One of the biggest selling points for modern AI systems is their ability to adapt to users. Every time an AI assistant takes on a task for you, it’s also adapting to your style and preferences, which ...

Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits. MeMo, a ...

Semianalysis AI Value Capture – The Shift To Model Labs Anthropic is now making $44 billion per year run rate and this is heading to $100 billion per year by the end of 2026. As of today, Memory ...

OpenAI is releasing an update to its artificial intelligence image-generating software that it says will let users create accurate, complex charts and scientific diagrams, part of a bid by the company ...

Google said this week that its research on a new compression method could reduce the amount of memory required to run large language models by six times. SK Hynix, Samsung and Micron shares fell as ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...

Shawn Shen believes that AI will need to remember what it sees in order to succeed in the physical world. Shen’s company Memories.ai is using Nvidia AI tools to build the infrastructure for wearables ...

The AI hardware boom is sending memory prices sky-high, so knowing exactly how much you need is more critical than ever. I've worked out the most realistic RAM goals for every type of PC. I’ve been a ...