Researchers find you don’t need a ton of data to train LLMs for reasoning tasks
With a few hundred well-curated examples, an LLM can be trained for complex reasoning tasks that previously required thousands of instances.
Morgan Stanley Has a Narrow Moat
Morgan Stanley has built a more stable business model, and its shift to wealth management from investment banking will continue to be a main part of the company’s story over the long term. Investment ...
eWeek1d
Ellison Thinks US Should Let Oracle AI Study All National Data
The co-founder of Oracle wants America to upload all national data, including highly sensitive genomic data, into an ...
4 Use Cases For Data Center Digital Twins And More On AI Simulations
Experts from both business and academia are recommending using digital twins to forecast what’s going to happen in complex ...
The Hacker News2d
FBI, Europol, and NCA Take Down 8Base Ransomware Data Leak and Negotiation Sites
Law enforcement seizes 8Base ransomware’s dark web sites, arresting four suspects linked to Phobos ransomware and $16M in ...
The Robot Report2d
How Spot helped BMW address its data blind spots
BMW said the Spot quadruped from Boston Dynamics works hand in hand with its digital twin technology to help it make sense of its data.
On The AI Playing Field, A Robust Data Strategy Is The MVP
Above all, data must be connected to be usable. Entity Resolution (ER) plays a crucial role in connecting disparate data. ER ...
Inside Monday’s AI pivot: Building digital workforces through modular AI
AI adoption is not a one and done, it’s a journey that enterprises and software vendors alike are on, from assistants to agentic AI.