Building connected data ecosystems for AI at scale
Post Content
Together AI’s ATLAS adaptive speculator delivers 400% inference speedup by learning from workloads in real-time
Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can’t keep up with shifting workloads.
Speculators are smaller AI models that work alongside large language models during inference. They draft multiple tokens...
The Download: our bodies’ memories, and Traton’s electric trucks
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.
How do our bodies remember?
“Like riding a bike” is shorthand for the remarkable way that our bodies remember how to move. Most of the time when...
Will updating your AI agents help or hamper their performance? Raindrop’s new tool Experiments tells you
It seems like almost every week for the last two years since ChatGPT launched, new large language models (LLMs) from rival labs or from OpenAI itself have been released. Enterprises are hard pressed to keep up with the massive pace of change, let alone understand how to adapt to it —...
Nvidia researchers boost LLMs reasoning skills by getting them to ‘think’ during pre-training
Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason.
The method, called reinforcement learning pre-training (RLP), integrates RL into the initial training phase rather than saving it for the end.
This...
Echelon’s AI agents take aim at Accenture and Deloitte consulting models
Echelon, an artificial intelligence startup that automates enterprise software implementations, emerged from stealth mode today with $4.75 million in seed funding led by Bain Capital Ventures, targeting a fundamental shift in how companies deploy and maintain critical business...