How do you convert complex, multilingual documents—dense layouts, small scripts, formulas, charts, and handwriting—into faithful structured Markdown/JSON with state-of-the-art accuracy while keeping ...

How far can a mid sized language model go if the real innovation moves from the backbone into the agent scaffold and tool stack?

Shobha is a data analyst with a proven track record of developing innovative machine-learning solutions that drive business value.

In this article we will analyze how Google, OpenAI, and Anthropic are productizing ‘agentic’ capabilities across computer-use control, tool/function calling, orchestration, governance, and enterprise ...

Large Language Models (LLMs) are becoming integral to modern technology, driving agentic systems that interact dynamically with external environments. Despite their impressive capabilities, LLMs are ...

Google DeepMind has unveiled AlphaGenome, a new deep learning framework designed to predict the regulatory consequences of DNA sequence variations across a wide spectrum of biological modalities.

The integration of Large Language Models (LLMs) with external tools, applications, and data sources is increasingly vital. Two significant methods for achieving seamless interaction between models and ...

Qwen3 incorporates a hybrid reasoning system supporting both “thinking” and “non-thinking” modes, allowing users to control computational overhead based on task complexity. The model implements ...

Local large language models (LLMs) for coding have become highly capable, allowing developers to work with advanced code-generation and assistance tools entirely offline. This article reviews the top ...

Google AI Research and DeepMind have released VaultGemma 1B, the largest open-weight large language model trained entirely with differential privacy (DP). This development is a major step toward ...