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How to build custom reasoning agents with a fraction of the compute
Training AI reasoning models demands resources that most enterprise teams do not have. Engineering teams are often forced to choose between distilling knowledge from large, expensive models or relying [...]
Microsoft's new AI training method eliminates bloated system prompts without sacrificing model performance
In building LLM applications, enterprises often have to create very long system prompts to adjust the model’s behavior for their applications. These prompts contain company knowledge, preferences, a [...]
Trump’s tariffs on Mexico, Canada and China could drive up prices of cars, electronics, fuel, food and more
On Saturday evening, Trump signed executive orders to impose tariffs on Mexico, Canada and China under the International Emergency Economic Powers Act (IEEPA), with a White House fact sheet claiming t [...]
Why LinkedIn says prompting was a non-starter — and small models was the breakthrough
LinkedIn is a leader in AI recommender systems, having developed them over the last 15-plus years. But getting to a next-gen recommendation stack for the job-seekers of tomorrow required a whole new [...]
5% GPU utilization: The $401 billion AI infrastructure problem enterprises can't keep ignoring
For the last 24 months, one narrative justified every over-provisioned data center and bloated IT budget: the GPU scramble. Silicon was the new oil, and H100s traded like contraband. Reserve capacity [...]
How Anthropic's Claude cuts SOC investigation time from 5 hours to 7 minutes
Integrating AI models directly into extended detection and response (XDR) platforms is delivering breakthrough improvements in SOC investigation speed and accuracy.In an exclusive interview with Ventu [...]
VentureBeat names Rob Strechay as its first Lead Analyst, expanding its enterprise AI research push
Rob Strechay, until recently managing director and principal analyst at theCUBE Research, has joined VentureBeat as our first Lead Analyst and a founding analyst of VentureBeat Research. His arrival i [...]
Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding
As agentic AI workflows multiply the cost and latency of long reasoning chains, a team from the University of Maryland, Lawrence Livermore National Labs, Columbia University and TogetherAI has found a [...]