These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.

This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...

Abstract: Deep learning, as an important branch of machine learning, has been widely applied in computer vision, natural language processing, speech recognition, and more. However, recent studies have ...

Google has opened access to its Gemini Deep Research agent, positioning it as a developer-ready system through the newly launched Interactions API. Alongside it arrives DeepSearchQA, an open-sourced ...

Reserve the API for “content”-images and icons that are part of the user’s data rather than the application shell. Budget constraints at Scale High-volume applications will hit rate limits or require ...

According to Google DeepMind, Deep Research is now the first AI agent available through the new Interactions API, which offers a single endpoint for managing complex agentic workflows. This innovation ...

Google released on Thursday a “reimagined” version of its research agent Gemini Deep Research based on its much-ballyhooed state-of-the-art foundation model, Gemini 3 Pro. This new agent isn’t just ...

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...

Accurate and fast prediction of materials properties is central to the digital transformation of materials design. However, the vast design space and diverse operating conditions pose significant ...