Illuminaire. In deployment across business and industry

Episode 7 – Why Small is the Next Big Thing in AI

Podcast

Share this article

Can Small Language Models outsmart their massive cousins? Informatica’s Sidd Rajagopal unpacks why the future of AI may be leaner, cleaner, and a lot more focused, from domain-specific precision to radically improved efficiency and sustainability.

Related Posts

AI Startups: When AI is forced to confront trust

Artificial intelligence has become more capable, but that ...

The inference age will punish narrow networks

Artificial intelligence is shifting from experimentation to continuous ...

AI startups: Where AI reshapes how work gets done

Enterprise workflows have long been shaped by software ...

The systems that no longer wait for humans

The infrastructure that once existed to support human ...
Others have also viewed

Episode 29: Chasing efficiency while AI rewrites human judgement

In this episode of Into The Madverse, Mark Venables speaks with David Weinstein, CEO at ...
Podcast

AI Startups: When AI is forced to confront trust

Artificial intelligence has become more capable, but that has only made its weaknesses more consequential. ...
AI In Depth

The inference age will punish narrow networks

Artificial intelligence is shifting from experimentation to continuous operation, and the infrastructure beneath it is ...
AI In Depth

Meta turns to custom silicon as agentic AI shifts the balance of compute

Meta has agreed to bring tens of millions of custom processor cores from Amazon Web ...
The Week in AI