How I wrapped large-language-model power in a safety blanket of secrets-detection, chunking, and serverless scale.

As enterprises find ever more use cases for generative AI (genAI) and agentic AI, their ability to achieve optimal business ...

Called Titans, the architecture enables models to find and store during inference small bits of information that are important in long sequences. Titans combines traditional LLM attention blocks ...

All the large language model (LLM) publishers and suppliers are focusing ... Broadly speaking, the process of a RAG system is simple to understand. It starts with the user sending a prompt ...

Residual connections made a very simple change to the traditional ... They believe the architecture can help improve performance across various LLM applications. “As the model can attend to ...

MetaCene unveils GameFi on HyperEVM, featuring LLM-driven gaming with a $500M GPU cluster, marking a milestone in AI gaming.

I’m often challenged when I suggest “knowledge at the edge” architecture due to this misperception ... The first step involves evaluating the LLM and the AI toolkits and determining which ...

A new technical paper titled “Breakthrough low-latency, high-energy-efficiency LLM inference performance using NorthPole” was published by researchers at IBM Research. At the IEEE High Performance ...