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 ...

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.

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

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

Indian startup Sarvam has launched a 105-billion-parameter foundational LLM, the largest trained from scratch in India with ...

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

The launch of Sarvam AI models is seen as a step toward developing a “sovereign AI” ecosystem within India.

The Bengaluru-based company (behind the development of Sarvam) is creating foundational AI models from scratch in India. This ...