Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents
arxiv.org

A research paper examining context-management methods for language-model agents performing long sequences of tool calls.
Gemt
Lignende links

Effective context engineering for AI agents
Anthropic explains how to select and manage context for agents, including tools, memory and long-running work.
Fælles emne: Kunstig intelligens, Udvikling

andrewyng/context-hub
A command-line documentation registry that supplies coding agents with curated API references and reusable skills.
Fælles emne: Kunstig intelligens, Udvikling

Figma Context MCP
An MCP server that gives coding agents structured Figma layout information for design-to-code work.
Fælles emne: Kunstig intelligens, Udvikling

wshobson/agents
A collection of plugins, agents and skills for development, testing and review across AI coding tools.
Fælles emne: Kunstig intelligens, Udvikling

msitarzewski/agency-agents
A collection of specialist agent definitions for engineering, design, marketing and other work.
Fælles emne: Kunstig intelligens, Udvikling

cobusgreyling/loop-engineering
Patterns and command-line tools for organising AI coding agents into repeatable, verifiable workflows.
Fælles emne: Kunstig intelligens, Udvikling
Flere links fra arxiv.org

Breaking the Token Ceiling: Distilling Smaller, Stronger Byte Models
A study comparing distilled byte-level and token-level language models. It finds that byte models start behind at low compute but can reach a higher performance ceiling with more training.

1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs
A research paper describing CPU inference techniques for BitNet b1.58 language models.

EvoOntology: A Self-Evolving Ontology Layer for Data Agents
A research paper describing an ontology layer that adapts over time to support data-oriented AI agents.

WorldKG: A World-Scale Geographic Knowledge Graph
Abstract page for arXiv paper 2109.10036: WorldKG: A World-Scale Geographic Knowledge Graph.
Image-to-Image Translation with Conditional Adversarial Networks
The pix2pix paper investigates learning mappings between images, with applications including colourisation and generating pictures from edge or label maps. Summary based on its abstract.
In-DRAM Bulk Bitwise Execution Engine
A research paper describing Ambit, a method for performing bulk bitwise operations inside DRAM to reduce data movement. Summary based on its abstract.