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 ...

One of the leading European sustainability experts, Arshad Rab, has stated that Uganda cannot follow the conventional “energy ...

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 ...

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.

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

Build an AI second brain that knows your business, voice, and goals. These ChatGPT prompts transform random outputs into focused results.

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.