Blog

We share our insights, research, and updates on AI and technology.

October 2025

Dhanishtha-2.1: Introducing Adaptive Effort Intelligence

Dhanishtha-2.1 redefines how AI thinks — dynamically adjusting its reasoning depth through four adaptive effort levels: None, Low, Medium, and High. Built on our breakthrough Adaptive Effort Architecture, it learns when to think deeply and when to respond instantly. This enables developers to create applications that are up to 80% more cost-efficient while maintaining exceptional reasoning accuracy — marking a major leap toward our upcoming flagship, Dhanishtha Max (March 26 2025).

Varun Gupta3 min read

August 2025

Making LLM Training Accessible to Everyone: A Complete Framework for Training Language Models from Scratch

A comprehensive guide exploring thousands of practical applications of Large Language Models across every domain - from content creation and education to legal, healthcare, and beyond. Discover how our transparent, CPU-first framework is reshaping AI accessibility, empowering everyone from curious beginners to advanced researchers to build, train, and customize their own models - scaling seamlessly from personal laptops to enterprise-grade systems.

Abhay Koul15 min read

July 2025

The Ultimate Guide to LLM Use Cases: Millions of Applications

A deep dive into thousands of practical applications of Large Language Models (LLMs) across every domain — from content creation and education to legal, healthcare, and beyond. This guide explores how LLMs are reshaping industries, enhancing workflows, and powering the next generation of intelligent systems.

Varun Gupta8 min read

July 2025

What is Intermediate Reasoning? How could it make reasoning model more efficient?

HelpingAI introduces Intermediate Reasoning (IR) - a revolutionary approach where AI thinks, responds partially, thinks again, and continues until complete. Unlike traditional models that take minutes, our IR approach delivers answers in seconds while using fewer resources. This innovative technique makes complex reasoning more efficient, affordable, and accessible, transforming how AI solves problems.

Varun Gupta5 min read