More efficient AI training approaches could reduce data center power requirements, make AI modelling more accessible and ...
Above all, data must be connected to be usable. Entity Resolution (ER) plays a crucial role in connecting disparate data. ER ...
As we continue moving closer to the democratization of data analytics, end-users and tech staff will be making queries in ...
Trusting which data to use and what can be deleted still requires human oversight; startups are at a disadvantage.
With a few hundred well-curated examples, an LLM can be trained for complex reasoning tasks that previously required thousands of instances.
Training LLMs and VLMs through reinforcement learning delivers better results than using hand-crafted examples.
What happens when AI training data runs out? Is this a breaking point for AI or the best thing that ever happened to it?
Allstate is discovering soul-less generative AI models, made up of entirely data and code, are more empathetic than a lot of ...
A tiny chip on the tip of a fibre-optic cable can passively harness light to perform AI computations, dramatically reducing ...
When Chinese AI start-up DeepSeek announced a chatbot that matched the performance of cutting-edge models such as ChatGPT with a fraction of the computing power, it sparked a glimmer of hope that ...
SAN FRANCISCO (Reuters) -ChatGPT maker OpenAI said on Thursday that it is evaluating U.S. states as potential artificial ...