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

arxiv.org

Skærmbillede af Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents
Åbn link i nyt vindue

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

Kunstig intelligensUdvikling

Gemt

  • 4. juli 2026 - Uge 27, 2026

Lignende links

4. juli 2026
Effective context engineering for AI agents

Effective context engineering for AI agents

www.anthropic.com

Anthropic explains how to select and manage context for agents, including tools, memory and long-running work.

Fælles emne: Kunstig intelligens, Udvikling

Kunstig intelligensUdvikling
17. marts 2026
andrewyng/context-hub

andrewyng/context-hub

github.com

A command-line documentation registry that supplies coding agents with curated API references and reusable skills.

Fælles emne: Kunstig intelligens, Udvikling

Kunstig intelligensUdvikling
23. oktober 2026
Figma Context MCP

Figma Context MCP

github.com

An MCP server that gives coding agents structured Figma layout information for design-to-code work.

Fælles emne: Kunstig intelligens, Udvikling

DesignKunstig intelligensUdvikling
11. oktober 2026
wshobson/agents

wshobson/agents

github.com

A collection of plugins, agents and skills for development, testing and review across AI coding tools.

Fælles emne: Kunstig intelligens, Udvikling

Kunstig intelligensUdvikling
11. oktober 2026
msitarzewski/agency-agents

msitarzewski/agency-agents

github.com

A collection of specialist agent definitions for engineering, design, marketing and other work.

Fælles emne: Kunstig intelligens, Udvikling

Kunstig intelligensUdvikling
4. september 2026
cobusgreyling/loop-engineering

cobusgreyling/loop-engineering

github.com

Patterns and command-line tools for organising AI coding agents into repeatable, verifiable workflows.

Fælles emne: Kunstig intelligens, Udvikling

Kunstig intelligensUdvikling

Flere links fra arxiv.org

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23. oktober 2026
Breaking the Token Ceiling: Distilling Smaller, Stronger Byte Models

Breaking the Token Ceiling: Distilling Smaller, Stronger Byte Models

arxiv.org

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.

Kunstig intelligensUdviklingData
11. oktober 2026
1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

arxiv.org

A research paper describing CPU inference techniques for BitNet b1.58 language models.

Kunstig intelligensHardware
22. september 2026
EvoOntology: A Self-Evolving Ontology Layer for Data Agents

EvoOntology: A Self-Evolving Ontology Layer for Data Agents

arxiv.org

A research paper describing an ontology layer that adapts over time to support data-oriented AI agents.

Kunstig intelligensData
23. september 2021
WorldKG: A World-Scale Geographic Knowledge Graph

WorldKG: A World-Scale Geographic Knowledge Graph

arxiv.org

Abstract page for arXiv paper 2109.10036: WorldKG: A World-Scale Geographic Knowledge Graph.

OpslagsværkerVærktøjer
9. november 2019

Image-to-Image Translation with Conditional Adversarial Networks

arxiv.org

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.

InfrastrukturSikkerhedKunstig intelligens
12. juni 2019

In-DRAM Bulk Bitwise Execution Engine

arxiv.org

A research paper describing Ambit, a method for performing bulk bitwise operations inside DRAM to reduce data movement. Summary based on its abstract.

Data