Why Leaders Must Prepare For A Shift From "Bigger Models” To “Smarter Systems”

New performance gains will not come from bigger models, but from better approaches. That shift should matter to every ...

Are Large Language Models A Dead End Or Simply Incomplete?

Once a model is deployed, its internal structure is effectively frozen. Any real learning happens elsewhere: through retraining cycles, fine-tuning jobs or external memory systems layered on top. The ...

Sarvam AI claims edge over larger global models on Indic benchmarks

Capable of reasoning, designed for voice, and fluent in Indian languages, the model would be ready for population-scale deployment ...
Geeky Gadgets

500MB AI Models : The Surprising Power of Going Small

What if the future of AI wasn’t about bigger, faster, or more powerful, but instead about being smaller, smarter, and more accessible? Imagine a world where a lightweight, 500MB language model could ...
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Large Language Models Get All the Hype, but Small Models Do the Real Work

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...
Morningstar

TII Launches Falcon Reasoning: Best 7B AI Model Globally, Also Outperforms Larger Models

Falcon H1R 7B Packs Advanced Reasoning into a Compact 7 Billion Parameter Model Optimized for Speed and Efficiency TII’s Latest AI Model Outperforms Larger Rivals from Microsoft, Alibaba, and NVIDIA ...
VentureBeat

How test-time scaling unlocks hidden reasoning abilities in small language models (and allows them to outperform LLMs)

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Very small language models (SLMs) can ...