Skip to content
  • AI Solutions
  • Decision Models
  • Platform
  • Research
  • Benchmarks
  • Articles
  • About
  • START A PROJECT →

July 14, 2024#posts#reading

Mixture of Agents

Together AI is the latest to demonstrate that agentic orchestration of cheap LLMs can produce better results than directly using expensive LLMs.

by Ryan Porter

Together AI is the latest to demonstrate that agentic orchestration of cheap LLMs can produce better results than directly using expensive LLMs, in Mixture-of-Agents Enhances Large Language Model Capabilities

Agentic orchestration of cheap LLMs can produce better results than directly using expensive LLMs
A spider chart showing results from multi-agent orchestration.

Anthus builds AI-native systems with durable procedures, operational guardrails, and reusable platform components.

Solutions

  • Cyclotron

    One AI decision that learns from your team’s corrections.

  • Chatticus

    Shared rooms where people and bots work together, with approvals.

  • Papyrus

    An automated newsroom: agents watch your beat, research and draft, and your editors decide what publishes.

  • Primus

    The classifier lab: evaluate, deploy and improve AI with reviewer feedback.

Supporting technology

  • Kanbus
  • Tactus
  • Biblicus
  • Auritus
  • Limatus
  • Pudicus
  • All technology →
  • All our repositories on GitHub →

Company

  • About
  • Ryan Porter
  • Start a project
  • Contact

Work

  • AI Solutions
  • Decision Models
  • Benchmarks

Writing

  • Articles
  • Research
  • Reading List
  • Posts
  • Tags

Elsewhere

  • GitHub
  • LinkedIn
  • Discord