Emergence Research

Our technical team members share their work in agent science and other fields on the forefront of AI.

May 14, 2024
May 14, 2024

Achieving Self-Improvement in Agentic Systems with Skill Harvesting

Skill harvesting allows agentic systems to self-reflect, autonomously developing more specialized skills.

RESEARCH JOURNAL

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May 14, 2024
May 14, 2024

Achieving Self-Improvement in Agentic Systems with Skill Harvesting

Skill harvesting allows agentic systems to self-reflect, autonomously developing more specialized skills.

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May 14, 2024
April 15, 2024

MathViz-E - Agent Tool Control

At Emergence, we’ve always believed that the next significant advancement in workflow automation will come from the planning, selection, and use of multiple external tools by artificial intelligence.

Engineering
May 9, 2024
April 3, 2024

Emergence’s Appropriateness Evaluation Model

Our products reverse the relationship between humans & machines and provide a new experience of naturally interacting with technology.

Product
May 9, 2024
March 28, 2024

Distilling the Web for Multi-Agent Automation

Our everyday interactions with computers are filled with slow and repetitive tasks.

Engineering
Product
May 9, 2024
March 20, 2024

Building Narrow Self Improving Agents

A number of enterprise workflows involving language- and tool-control tasks can be augmented with LLM- and LVM-powered agents.

Product
Engineering
May 9, 2024
March 19, 2024

Self-Improving Agents

Self-improving agents have varying objectives, and the issue of aligning them with human values is critical.

Product
May 9, 2024
March 18, 2024

The Anatomy of Agents

The concept of a software agent can be traced back to the model Hewitt, et al.

Product
Insights
May 9, 2024
March 17, 2024

Introducing Emergence

The pivotal advancement in the ability of computers to understand language and develop functional world models has profoundly reset the landscape in computing.

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Engineering
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