Some may worry that if AI conducts its own experiments and writes its own papers, researchers will lose their jobs. A paper ...

LLM inference in C/C++. Contribute to k0valik/llama.cpp-adaptive-kv-streaming development by creating an account on GitHub.

In particular, LLM-based AI agents have demonstrated strong coding capabilities, while harness engineering has further enhanced their ability to interact with the external world, execute actions, and ...

A new framework combining carbon-intensity forecasting with latency-aware scheduling cut simulated AI workload emissions by ...

I dug into the RTX Spark-powered Asus ProArt P16 to see how it handles local LLMs and AI agents, and how it stacks up against the MacBook Pro.

ScholarEvolve uses published research to improve AI agents, raising Qwen's AppWorld task completion from 69% to 81.4% without retraining the model.

Treat the LLM as a brain, not a source of facts. A practical guide to multi-agent LLM systems: prompts, orchestration, RAG, ...

Top 10 Best AI Startups in India in 2027 India’s artificial intelligence ecosystem has matured rapidly into a force capable of delivering production-grade solutions across foundational models, ...

This article is the English version of the following article published on August 7, 2026: The Agentic OS: a first-principles ...

UCSB and Microsoft's ScholarEvolve generates code from academic papers to improve an agent's harness without retraining model ...

GPT-6 Astra edited Qwen’s weights and raised MATH-500 from 7.9% to 48.1% in author-run tests. How weight-space programming works—and its limits.