Small and energy-efficient models have garnered growing attention in recent months.
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Some candidates with experience in large language models can reap salaries in excess of $1 million a year.
While robots aren’t taking over the world any time soon, tech companies seem intent on creating AI-enabled machines that walk among us.
The filing adds to several of the company’s AI-powered business tool patents, and signals its growing interest in enterprise-focused AI tech.
Microsoft hasn’t signed off on OpenAI’s dramatic reversal of its onetime plan to become a for-profit venture.
Google’s latest AI patent may make your spreadsheets less daunting.
IBM’s tech could help AI services address the knowledge gap between consumers and the AI tools they use.
Niche models could be more accurate, save energy and present less security risk than an all-knowing large language model.
Quarterly earnings at tech giants Meta and Microsoft surged, indicating that multi-billion dollar AI investments are starting to pay off.
“(AI) vastly increases the capacity to create any type of new media … both in speed and volume.”
Google’s patent to scrape radio stations for AI training could provide a pool of useful data, though it may face a copyright dilemma.
Sam Altman may be looking to the Singaporean fund to help him build his own supply of semiconductors.
IBM is booting up its domestic production, setting aside $150 billion to make computers in the US over the next five years.
Along with mitigating hallucinations, this tech creates an audit trail for more transparency between the model and its users.
One point Chinese AI companies including Tencent and DeepSeek emphasize about their new models: efficiency.
This new server farm announcement comes just after Apple CEO Tim Cook reportedly paid President Trump a visit.