The race to expand large language models (LLMs) beyond the million-token threshold has ignited a fierce debate in the AI community. Models like MiniMax-Text-01 boast 4-million-token capacity, and ...

As enterprise AI becomes more complex, AI architectures can no longer treat context as temporary.

Large Language Models (LLMs) have transformed natural language processing, but their limitations, such as fixed training data and lack of real-time updates, pose challenges for certain applications.

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...

The AI world continues to evolve rapidly, especially since the introduction of DeepSeek and its followers. Many have concluded that enterprises don't really need the large, expensive AI models touted ...

What if the next generation of AI systems could not only understand context but also act on it in real time? Imagine a world where large language models (LLMs) seamlessly interact with external tools, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this podcast, Michael Stiefel spoke to ...

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...

Anthropic is increasing the amount of information that enterprise customers can send to Claude in a single prompt, part of an effort to attract more developers to the company’s popular AI coding ...