Sarvam's 105B model is its first fully independently trained foundation model, addressing criticism of its earlier ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

The logic is straightforward. Frontier model development is capital-intensive, compute-hungry, and concentrated among a ...

Many in the industry think the winners of the AI model market have already been decided: Big Tech will own it (Google, Meta, Microsoft, a bit of Amazon) along with their model makers of choice, ...

To maintain scientific rigor, headline benchmark numbers are reported with thinking mode disabled. In these published results, Noeum-1-Nano achieves SciQ 77.5% accuracy and MRPC 81.2 F1, achieving a ...

Sarvam AI launches two advanced LLM models, 30B and 105B, outperforming competitors in key benchmarks, focusing on Indian language support.

As artificial intelligence redraws the global balance of power, India has quietly but decisively entered the foundational layer of this transformation.

Not everything should be automated or use AI. These 5 tasks must stay human to protect what makes your business unique.

In practice, the choice between small modular models and guardrail LLMs quickly becomes an operating model decision.

The role of frontend engineers will vanish by 2028 as "vibe coding" empowers designers to build products directly, experts from MyOp, Pic-Time, and Bezalel Academy told The Jerusalem Post.

The real victory won't be in the size of the model, but in the ability to finally make it work for the person in the field.