engine.init({ mode: "recursive" })
agent.reason(depth=∞)
model.deploy(scale="auto")
fractal.compute(unity=true)
sr1.iterate(cycles=X)
desky.build(interface=auto)
sparky.outreach(leads=all)
Model

Llama3.3-GTR

Introducing Llama3.3-GTR: Generate-to-Refinement for Enhanced AI Output

Jan 11, 2025
8 min read
0%
~1 min

Discover Llama3.3-GTR, our innovative Generate-to-Refinement model that first responds using Llama-3.3-70b and then refines the response with Gemma2-9b-it.

Recent advances in AI have underscored the importance of multi-agent collaboration to boost reasoning and output quality. Traditional language models typically generate responses in a single pass, but our new model, Llama3.3-GTR, takes a revolutionary two-step approach.

The Two-Stage Process

Stage 1: Initial Generation Llama3.3-GTR begins by processing the user input with Llama-3.3-70b.

Stage 2: Refinement via Gemma2-9b-it The output is then passed to Gemma2-9b-it for enhancement, correction, and extension.

Benefits

  • Enhanced Output Quality: Two-stage process produces accurate, enriched responses
  • Multi-Agent Collaboration: Leverages strengths of two specialized models
  • Versatile Integration: Easily plugged into various workflows